Search results “Data mining tools twitter headers”
Mine Twitter for Targeted Information Using Twint [Tutorial]
How to Scan Twitter for an OSINT Investigation Full Tutorial: http://bit.ly/twintOSINT Subscribe to Null Byte: https://goo.gl/J6wEnH Kody's Twitter: https://twitter.com/KodyKinzie Twitter is a treasure trove of information for an OSINT investigator. With users constantly updating it, knowing how to wade through so much data is crucial. On this episode of Cyber Weapons Lab, we'll show you how using a tool called Twint which can let you target a specific individual's tweets to find incriminating evidence. Follow Null Byte on: Twitter: https://twitter.com/nullbytewht Flipboard: https://flip.it/3.Gf_0 Weekly newsletter: https://eepurl.com/dE3Ovb
Views: 11479 Null Byte
Learn Excel - Sentiment Analysis - Podcast 2062
It is easy to quantify survey data when it is multiple choice You can use a pivot table to figure out what percentage each answer has But what about free-form text answers? These are hard to process if you have hundreds or thousands of them. Sentiment Analysis is a machine-based method for predicting if an answer is positive or negative. Microsoft offers a tool that does Sentiment Analysis in Excel - Azure Machine Learning. Traditional sentiment analysis requires a human to analyze and categorize 5% of the statements. Traditional sentiment analysis is not flexible - you will rebuild the dictionary for each industry. Excel uses MPQA Subjectivity Lexicon (read about that at http://bit. ly/1SRNevt) This generic dictionary includes 5,097 negative and 2,533 positive words Each word is assigned a strong or weak polarity This works great for short sentences, such as Tweets or Facebook posts It can get fooled by double-negatives To install, go to Insert, Excel Store, search for Azure Machine Learning Specify an input range and two blank columns for the output range. The heading for the input range has to match the schema: tweet_text Companion article at: http://sfmagazine.com/post-entry/may-2016-excel-sentiment-analysis/
Views: 5613 MrExcel.com
How to Clean Up Raw Data in Excel
Al Chen (https://twitter.com/bigal123) is an Excel aficionado. Watch as he shows you how to clean up raw data for processing in Excel. This is also a great resource for data visualization projects. Subscribe to Skillshare’s Youtube Channel: http://skl.sh/yt-subscribe Check out all of Skillshare’s classes: http://skl.sh/youtube Like Skillshare on Facebook: https://www.facebook.com/skillshare Follow Skillshare on Twitter: https://twitter.com/skillshare Follow Skillshare on Instagram: http://instagram.com/Skillshare
Views: 101103 Skillshare
Connecting To Twitter and Using the Extracted Data in the Mapping - Informatica  Powercenter Express
This video will Guide you to create a Twitter application, Configure Open Authentication using OAuth Utility, Create a twitter connection, Twitter data Object, Twitter Data Object Operation and use it in the mapping in Informatica Developer. For more goto http://a2zinformatica.blogspot.com/2015/01/informatica-powercenter-express_10.html
Views: 1873 Informatica HowTo
Import Data, Copy Data from Excel to R CSV & TXT Files | R Tutorial 1.5 |MarinStatsLectures
Import Data, Copy Data from Excel (or other spreadsheets) to R: CSV & TXT Files with Free Practice Dataset: (https://bit.ly/2rOfgEJ) Need More Statistics and R Programming Tutorials? (https://bit.ly/2Fhu9XU) How to Import CSV data into R or How to Import TXT files into R from Excel or other spreadsheets using function in R ►How to import CSV data into R? We will be using "read.table" function to import comma separated data into R ► How to import txt data file into R? You will learn to use "read.delim" function to import the tab-delimited text file into R ► You will also learn to use "file.choose" argument for file location, "header" argument to let R know the data has headers or variable names and "sep" argument to let R know how the data values are separated. ►►Download the dataset here: https://statslectures.com/r-scripts-datasets ►►Like to support us? You can Donate https://bit.ly/2CWxnP2 or Share the Videos! ►► Watch More: ► Intro to Statistics Course: https://bit.ly/2SQOxDH ►R Tutorials for Data Science https://bit.ly/1A1Pixc ►Getting Started with R (Series 1): https://bit.ly/2PkTneg ►Graphs and Descriptive Statistics in R (Series 2): https://bit.ly/2PkTneg ►Probability distributions in R (Series 3): https://bit.ly/2AT3wpI ►Bivariate analysis in R (Series 4): https://bit.ly/2SXvcRi ►Linear Regression in R (Series 5): https://bit.ly/1iytAtm ►ANOVA series https://bit.ly/2zBwjgL ►Linear Regression Concept and with R https://bit.ly/2z8fXg1 ►Puppet Master of Statistics: https://bit.ly/2RDAAv4 ►Hypothesis Testing: Concepts in Statistics https://bit.ly/2Ff3J9e ◼︎ Table of Content 0:00:17 What are the two main file types for saving a data file (CSV and TXT) 0:00:36 How to save an Excel file as a CSV file (comma-separated value) 0:01:10 How to open a CSV data file in Excel 0:01:20 How to open a CSV file in a text editor 0:01:36 How to import CSV file into R? using read.csv function 0:01:44 How to access the help menu for different commands/functions in R 0:02:04 How to specify file location for R? using file.choose argument on read.csv function 0:02:31 How to let R know our data has headers or variable names when importing the data into R? By using the “header” argument on read.csv function 0:03:22 How to import CSV file into R? using read.table function 0:03:38 How to specify the file location for the read.table function in R? using file.choose argument 0:03:46 How to specify how variables/columns are separated when importing data into R? the "sep" argument on read.table function will do that; for example if you don't specify that your data is comma separated, R ends up reading it all in as one variable 0:04:10 How to save a file in Excel as tab-delimited text (TXT) file 0:04:50 How to open a tab-delimited (.TXT) data file in a text editor 0:05:07 How to open a tab-delimited (.TXT) data file in excel 0:05:20 How to import tab-delimited (.TXT) data file into R? using read.delim function 0:05:44 How to specify the file path for read.delim function in R? using file.choose argument 0:06:06 How to import tab-delimited (.TXT) data file into R? using read.table function 0:06:23 How to specify that the data has headers or variable names when importing the data into R? using header argument on read.table function This video is a tutorial for programming in R Statistical Software for beginners, using RStudio. Follow MarinStatsLectures Subscribe: https://goo.gl/4vDQzT website: https://statslectures.com Facebook:https://goo.gl/qYQavS Twitter:https://goo.gl/393AQG Instagram: https://goo.gl/fdPiDn Our Team: Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC. Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH) These videos are created by #marinstatslectures to support some courses at The University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), although we make all videos available to the everyone everywhere for free. Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!
Termux-Information gathering - WHOIS : Provide the details related to Commands/Header
Find the Domains details using TERMUX Information Gathering Tool – WHOIS Hi GUYS In this video we are going to illustrate to find the domains using TERMUX tool WHOIS. THANK YOU, FORTIFY SOLUTIONS LIKE | COMMENT | SHARE | SUBSCRIBE FOLLOW US ON : BLOG : https://fortifysolutions.blogspot.com/2018/11/8.html FACEBOOK: Fortify S OFFICIAL FACEBOOK PAGE: ETHICAL HACKER- INDIA TWITTER: fortifysolutio1 https://twitter.com/FortifySolutio1 INSTAGRAM: fortifysolutions NOTE: THIS VIDEO IS FOR EDUCATION PURPOSE ONLY , IN THIS VIDEO WE DIDN’T HACK ANYTHING AND WE DON’T SUPPORT ANY ILLEGAL THINGS ON INTERNET.
Views: 44 Fortify Solutions
Complete Guide to Serpstat — Part 3: URL Analysis
••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••• Serpstat All-in-one SEO Platform Subscribe to our blog and follow us on social media to keep up to date with our latest news and updates! Blog: https://serpstat.com/blog Facebook: https://www.facebook.com/SerpstatEN/ Twitter: https://twitter.com/serpstat Want to learn more about keywords and become a real pro when it comes to keyword and competitor research? Visit the Serpstat Academy: http://academy.serpstat.com/
Views: 2263 Serpstat
Live Stream - My Twitter Account Suspended
Support the stream: https://streamlabs.com/braxme1 I'm the Internet Privacy Guy. I'm here to educate. You are losing your Internet privacy and Internet security every day if you don't fight for it. Your data is collected with endless permanent data mining. Learn about a TOR router, a VPN , antivirus, spyware, firewalls, IP address, wifi triangulation, data privacy regulation, backups and tech tools, and evading mass surveillance from NSA, CIA, FBI. Learn how to be anonymous on the Internet so you are not profiled. Learn to speak freely with pseudo anonymity. Learn more about the dangers of the inernet and the dangers of social media, dangers of email. I support Anonymous. Contact Rob on the Brax.Me App (@robbraxman) for encrypted conversations. https://bytzVPN.com Premium VPN with Cloud-Based TOR Routing https://whatthezuck Cybersecurity Reference https://brax.me Privacy Focused Social Media - Encrypted Communications http://rob.brax.me Store for BytzVPN, BraxWifi Router, and merchandise
Views: 186 Rob Braxman Tech
Let's Automate Instagram without using the API - Web Automation Screen Scraping with PHP and cURL
In this video I tactically automate Instagram to extract Recent Posts. Instead of using the API I use screen scraping to get started fast and treat the Application as an API. ► An introduction to PHP ► An overview of REGEX in PHP ► Screen Scraping Web Site using PHP ► Processing JSON in PHP ► Add assertions to live code to guard against application changes - previously talked about APP as API - here is a good example - Instagram have an API which requires a dev key etc. - But instagram also have a GUI which does not require logging in or API key - Instagram GUI is primarily JavaScript based i.e. when we issue a request we don't get an HTML page we get a page dyanmically created from an embedded JSON payload - To automate then: - call the page - treat most of the page as a header - treat most of the page as a footer - pull out the embedded JSON and parse - There are risks to this: - it isn't an official API - they might change the JSON - they might change the page format - there are many ways this might break - so code against those ways and assert on your expectations - walk through the PHP code that does this See also my video on Ruthless Efficiency where I start to automate Instagram - https://www.youtube.com/watch?v=MBQWxRRr_-U ************* ► Subscribe to My Channel For more videos like this http://www.youtube.com/subscription_center?add_user=EvilTesterVideos ************* ►► Contact Details: Read my writing and blogs at: ✓ http://www.eviltester.com ✓ http://www.seleniumsimplified.com ✓ http://www.javafortesters.com ✓ http://www.compendiumdev.co.uk Follow me on social media: ★ https://uk.linkedin.com/in/eviltester ★ https://twitter.com/eviltester - @eviltester ★ https://www.instagram.com/eviltester/ ★ https://uk.pinterest.com/eviltester/ ************* ►► Read my books http://compendiumdev.co.uk/page/books ★ "Dear Evil Tester" - explore the tester's mind ★ "Java For Testers" - learn to code in Java ★ "Automating and Testing a REST API - a case study" ************* ►►Learn skills from my online training courses http://www.compendiumdev.co.uk/page/online_training ★ Selenium WebDriver With Java ★ Technical Web Testing 101 ★ Evil Tester Talks Technical Testing ★ Case Study: Java Desktop Application Technical Training *************
Combine Data Sources in Google Data Studio | Lesson 2
In this lesson we're going to setup our data sources in Google Sheets with the help of Supermetrics. We're going to pull data from Facebook Ads and Google Analytics and prepare it to later be used in Google Data Studio. Google Sheets combined with Supermetrics is a great way to control data that later goes into our data dashboards - it gives you the possibility to change data around, clean it up and even combine data sources (which is not possible in Google Data Studio itself). Previous video: http://bit.ly/2f4FgZl #GoogleDataStudio #DataSources #DataVizualisation 🔗 Links mentioned in the video: Google Data Sheet: http://bit.ly/2tUX3EF Full Playlist: http://bit.ly/2hkwUx4 Coding is for Losers: http://codingisforlosers.com/ Ben Collins: http://benlcollins.com/ The Dashboard Plan: https://measureschool.com/dashboardplan Google Data Studio:http://bit.ly/2bcb7zt Google Sheets: http://bit.ly/1GAUvK5 Supermetrics: http://bit.ly/2hmxvOR 🎓 Learn more from Measureschool: http://measureschool.com/products GTM Copy Paste https://chrome.google.com/webstore/detail/gtm-copy-paste/mhhidgiahbopjapanmbflpkcecpciffa 🚀Looking to kick-start your data journey? Hire us: https://measureschool.com/services/ 📚 Recommended Measure Books: https://kit.com/Measureschool/recommended-measure-books 📷 Gear we used to produce this video: https://kit.com/Measureschool/measureschool-youtube-gear 👍 FOLLOW US FACEBOOK: http://www.facebook.com/measureschool TWITTER: http://www.twitter.com/measureschool
Views: 37520 Measureschool
Advanced Data Mining with Weka (4.3: Using Naive Bayes and JRip)
Advanced Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 3: Using Naive Bayes and JRip http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/msswhT https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 4427 WekaMOOC
Swift Six: How to find influencers on Twitter | 123-reg
Watch this Swift Six video to learn six easy ways to help you find influencers on Twitter. In this video we’ll explain how you can find Twitter influencers within your niche who can influence your target audience to visit your website and learn more about your brand, to buy from your or to read your content. From looking at the authoritative people who might already be following you to using some great tools to search for and connect with influencers within your niche industry, this webinar has all the useful advice and tips you need to find Twitter influencers. You’ll learn what an influencer is and how to determine whether someone is carrying influence and whether they are authoritative on a specific topic. We’ll also explain how you can use Twitter, Google and other tools to find the most popular content on social media and on the web, as well as to track down the most influential people within your particular topic area. Have questions or want to share your own tips and advice on how to find influencers on Twitter? Comment below or head on over to our blog to join the conversation: https://www.123-reg.co.uk/blog/ Want more? Subscribe to 123-reg for regular videos with advice on getting your business online! https://www.youtube.com/subscription_center?add_user=123reg
Views: 1259 123 Reg
Naive Bayes Classifier Tutorial | Naive Bayes Classifier Example | Naive Bayes in R | Edureka
( Data Science Training - https://www.edureka.co/data-science ) This Naive Bayes Tutorial video from Edureka will help you understand all the concepts of Naive Bayes classifier, use cases and how it can be used in the industry. This video is ideal for both beginners as well as professionals who want to learn or brush up their concepts in Data Science and Machine Learning through Naive Bayes. Below are the topics covered in this tutorial: 1. What is Machine Learning? 2. Introduction to Classification 3. Classification Algorithms 4. What is Naive Bayes? 5. Use Cases of Naive Bayes 6. Demo – Employee Salary Prediction in R Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #NaiveBayes #NaiveBayesTutorial #DataScienceTraining #Datascience #Edureka How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best."
Views: 49545 edureka!
Advanced Data Mining with Weka (4.2: Installing with Apache Spark)
Advanced Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 2: Installing with Apache Spark http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/msswhT https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 2701 WekaMOOC
Linux and FOSS News You Might Have Missed - April 2019
Here is a condensed roundup of some Linux news you might have missed during April ! Follow me on Twitter : http://twitter.com/thelinuxEXP Support me on Patreon: https://www.patreon.com/thelinuxexperiment April 8th Microsoft released their Chromium-based version of Edge. https://www.microsoftedgeinsider.com/en-us/download April 9th BlackMagic Design has announced the DaVinci Resolve Beta for its version 16. https://www.blackmagicdesign.com/media/release/20190408-05 Opera also announced its Reborn 3 new browser, with a crypto wallet included out of the box. https://www.opera.com/fr/reborn3 Firefox has added some crypto mining protection to its beta releases. https://blog.mozilla.org/futurereleases/2019/04/09/protections-against-fingerprinting-and-cryptocurrency-mining-available-in-firefox-nightly-and-beta/ April 10th Unless you're living in one, you probably know that NASA managed to take a picture of a BlackHole, which is by no means a small achievement since these things don't emit or bounce light back. Well this blurry picture would not have been possible without open source software. https://www.tfir.io/gnu-gplv3-at-the-heart-of-black-hole-image/ April 12th Wine 4.6 was released, with notable improvements, such as a new backend for Wine Direct3D using Vulkan. https://www.winehq.org/announce/4.6 April 13th Firefox announced a recommended extensions program, which is, in essence, a selection of curated extensions for Firefox that meet certain standards of security and user experience. https://blog.mozilla.org/addons/2019/04/08/recommended-extensions-program-coming-soon/ April 15th DXVK 1.0.3 has been released. https://github.com/doitsujin/dxvk/releases/tag/v1.0.3 April 17th Steam also released a new version of its client for Linux, which most notably fixes the mouse cursor not showing up in the steam overlay on some Proton games, and improves support for Steam library on NTFS partitions. https://store.steampowered.com/news/50095/ April 18th Ubuntu 19.04, codenamed Disco Dingo, and its myriad of variants have been released. The KDE community released the KDE Applications 19.04. https://kde.org/announcements/announce-applications-19.04.0.php In the same vein, Pop!OS 19.04, System 76's Ubuntu based OS, has been released as well. Using GNOME 3.32 with a custom theme and extensions, PopOS 19.04 brings a slim mode to reduce the size of the headers and title bars, as well as a dark mode. New installations also get the option to refresh their install from their recovery partition, reinstalling the OS without losing data in your home directory. https://blog.system76.com/post/184281497363/popos-1904-is-here April 19th SteamPlay got two new releases: one to update the oldest version of Proton to 3.16-9, and another one to release version 4.2-3. https://github.com/ValveSoftware/Proton/wiki/Changelog April 22nd Kdenlive officially announced its next release, Kdenlive 19.04. While it's part of the KDE software compilation, it deserved a separate announcement. Among the new stuff is an automatic split of audio and video on dedicated tracks, as well as keyboard navigation for moving clips and keyframes, and the ability to resize tracks individually. https://kdenlive.org/en/2019/04/kdenlive-19-04-released/ SuperTuxKart also finally reached its 1.0 version. http://blog.supertuxkart.net/2019/04/supertuxkart-10-release.html April 24th The GNOME developers are looking to create a hardware diagnostics tool, in the same vein as what Apple includes in Mac OS X. https://discourse.gnome.org/t/help-needed-a-hardware-diagnostics-tool-for-gnome/839 April 27th Wine 4.7 was released, with 34 bugs fixed, and an updated Mono engine. https://www.winehq.org/announce/4.7 April 28th Deepin 15.10 was released, bringing a lot of enhancements to its desktop. Highlights include a stacks feature to automatically group files by type on your desktop, the ability to set a slideshow of images as your wallpaper, improved customization of sound effects with the ability to turn each sound effect on or off individually, and a ton of bugfixes. https://www.deepin.org/en/2019/04/28/deepin15-10/ April 30th Fedora 30 was released, bringing a vanilla GNOME 3.32 with all it entails. https://getfedora.org Librem, the company that makes privacy and free software focused laptops, and, soon, a phone, announced the Librem One suite of apps. The goal is simple: to remove as much privacy invasive stuff from your life, including mostly Google services. https://librem.one
Views: 10855 The Linux Experiment
Intro to Azure ML: Modules & Experiments
Today we'll explore the interface of our new machine learning tool, Azure ML. How do you bring data to and from the outside world into Azure ML? The import dataset module can read in data from a variety of sources: HTTP, Azure SQL database, Hadoop Hive query, or Azure Storage Blobs. You can also convert the data to a variety of formats, then save them to your local computer. If the data is fairly large, you have access to export the data to other parts of the Azure ecosystem using the export data module. In Part 3 we will cover: - Creating an experiment - Exploring your experiment workspace - Modules - Importing and exporting data -- Learn more about Data Science Dojo here: https://hubs.ly/H0hD1fM0 Watch the latest video tutorials here: https://hubs.ly/H0hD1xC0 See what our past attendees are saying here: https://hubs.ly/H0hD1gm0 -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 4000+ employees from over 830 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Like Us: https://www.facebook.com/datasciencedojo Follow Us: https://twitter.com/DataScienceDojo Connect with Us: https://www.linkedin.com/company/datasciencedojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo Vimeo: https://vimeo.com/datasciencedojo
Views: 10329 Data Science Dojo
Intro and Getting Stock Price Data - Python Programming for Finance p.1
Welcome to a Python for Finance tutorial series. In this series, we're going to run through the basics of importing financial (stock) data into Python using the Pandas framework. From here, we'll manipulate the data and attempt to come up with some sort of system for investing in companies, apply some machine learning, even some deep learning, and then learn how to back-test a strategy. I assume you know the fundamentals of Python. If you're not sure if that's you, click the fundamentals link, look at some of the topics in the series, and make a judgement call. If at any point you are stuck in this series or confused on a topic or concept, feel free to ask for help and I will do my best to help. https://pythonprogramming.net https://twitter.com/sentdex https://www.facebook.com/pythonprogramming.net/ https://plus.google.com/+sentdex
Views: 335619 sentdex
Content Analysis Tools 2019
To prosper in today's digital economy, you need to provide your high value markets and followers with a continual stream of great content - white papers, articles, videos, vlogs, blogs, and podcasts. These free social tools help you give them the content they need to engage with your organization.
Views: 119 Randy Hlavac
Complete Data Science Course | What is Data Science? | Data Science for Beginners | Edureka
** Data Science Master Program: https://www.edureka.co/masters-program/data-scientist-certification ** This Edureka video on "Data Science" provides an end to end, detailed and comprehensive knowledge on Data Science. This Data Science video will start with basics of Statistics and Probability and then move to Machine Learning and Finally end the journey with Deep Learning and AI. For Data-sets and Codes discussed in this video, drop a comment. This video will be covering the following topics: 1:23 Evolution of Data 2:14 What is Data Science? 3:02 Data Science Careers 3:36 Who is a Data Analyst 4:20 Who is a Data Scientist 5:14 Who is a Machine Learning Engineer 5:44 Salary Trends 6:37 Road Map 9:06 Data Analyst Skills 10:41 Data Scientist Skills 11:47 ML Engineer Skills 12:53 Data Science Peripherals 13:17 What is Data ? 15:23 Variables & Research 17:28 Population & Sampling 20:18 Measures of Center 20:29 Measures of Spread 21:28 Skewness 21:52 Confusion Matrix 22:56 Probability 25:12 What is Machine Learning? 25:45 Features of Machine Learning 26:22 How Machine Learning works? 27:11 Applications of Machine Learning 34:57 Machine Learning Market Trends 36:05 Machine Learning Life Cycle 39:01 Important Python Libraries 40:56 Types of Machine Learning 41:07 Supervised Learning 42:27 Unsupervised Learning 43:27 Reinforcement Learning 46:27 Supervised Learning Algorithms 48:01 Linear Regression 58:12 What is Logistic Regression? 1:01:22 What is Decision Tree? 1:11:10 What is Random Forest? 1:18:48 What is Naïve Bayes? 1:30:51 Unsupervised Learning Algorithms 1:31:55 What is Clustering? 1:34:02 Types of Clustering 1:35:00 What is K-Means Clustering? 1:47:31 Market Basket Analysis 1:48:35 Association Rule Mining 1:51:22 Apriori Algorithm 2:00:46 Reinforcement Learning Algorithms 2:03:22 Reward Maximization 2:06:35 Markov Decision Process 2:08:50 Q-Learning 2:18:19 Relationship Between AI and ML and DL 2:20:10 Limitations of Machine Learning 2:21:19 What is Deep Learning ? 2:22:04 Applications of Deep Learning 2:23:35 How Neuron Works? 2:24:17 Perceptron 2:25:12 Waits and Bias 2:25:36 Activation Functions 2:29:56 Perceptron Example 2:31:48 What is TensorFlow? 2:37:05 Perceptron Problems 2:38:15 Deep Neural Network 2:39:35 Training Network Weights 2:41:04 MNIST Data set 2:41:19 Creating a Neural Network 2:50:30 Data Science Course Masters Program Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS Machine Learning Podcast: https://castbox.fm/channel/id1832236 Instagram: https://www.instagram.com/edureka_learning Slideshare: https://www.slideshare.net/EdurekaIN/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka #edureka #DataScienceEdureka #whatisdatascience #Datasciencetutorial #Datasciencecourse #datascience - - - - - - - - - - - - - - About the Master's Program This program follows a set structure with 6 core courses and 8 electives spread across 26 weeks. It makes you an expert in key technologies related to Data Science. At the end of each core course, you will be working on a real-time project to gain hands on expertise. By the end of the program you will be ready for seasoned Data Science job roles. - - - - - - - - - - - - - - Topics Covered in the curriculum: Topics covered but not limited to will be : Machine Learning, K-Means Clustering, Decision Trees, Data Mining, Python Libraries, Statistics, Scala, Spark Streaming, RDDs, MLlib, Spark SQL, Random Forest, Naïve Bayes, Time Series, Text Mining, Web Scraping, PySpark, Python Scripting, Neural Networks, Keras, TFlearn, SoftMax, Autoencoder, Restricted Boltzmann Machine, LOD Expressions, Tableau Desktop, Tableau Public, Data Visualization, Integration with R, Probability, Bayesian Inference, Regression Modelling etc. - - - - - - - - - - - - - - For more information, Please write back to us at [email protected] or call us at: IND: 9606058406 / US: 18338555775 (toll free)
Views: 51637 edureka!
Introduction to Packet Analysis - Part 2: Network Protocols
Author: Jeremy Druin Twitter: @webpwnized Note: Please help this channel by subscribing and up voting. You can even support us at https://www.youtube.com/user/webpwnized! Description: From the ISSA-KY Network Packet Analysis Workshop, this video introduces the basics of the OSI packet model, application packet model and common network protocols. Later videos will discuss specific protocols such as TCP, IP, UDP and HTTP. Later, packets will be captured into PCAPs which are analyzed with Wireshark and Network Miner. If you would like access to the full course including the lab exercises and walk-through, please consider taking the course at http://ellipsisinfosec.teachable.com/p/introduction-to-network-packet-analysis-and-forensics. Thanks again. The webpwnized YouTube channel is dedicated to information security, security testing and ethical hacking. There is an emphasis on web application security but many other topics are covers. Some of these include forensics, network security, security testing tools and security testing processes. The channel provides videos to encourage software developers and system administrators to perform security testing. Also, the channel educates the next generation of security testers and bug bounty hunters who want to respectfully, legally and ethically help system owners that allow security testing.
Views: 5892 webpwnized
Accessing Web Content with Alteryx Analytics
See how you can use Alteryx Analytics to access data from a website, then parse the data and prepare it for blending with other data sources.
Views: 9021 Alteryx
How to download all Tweets  from Twitter website
http://www.tothepc.com/?p=15113 Download full tweets archive file for your Twitter account. Click Request for download on Twitter's settings page to get the download link. After download, you can browse whole tweets and RTs archive offline on your computer Visit - http://www.tothepc.com Twitter - http://twitter.com/tothepc Facebook - http://facebook.com/tothepc
Views: 5471 tothepc
Importing , Checking and Working with Data in R | R Tutorial 1.7 | MarinStatsLectures
Importing Data, Checking the Imported Data and Working with Data in R; Dataset: (https://bit.ly/2rOfgEJ) More Statistics and R Programming Tutorials: (https://goo.gl/4vDQzT) ►►Like to support us? You can Donate https://statslectures.com/support-us or Share the Videos How to import a data set into R, How to make sure data was imported correctly into R and How to begin to work with the imported data in R. ►In this R video tutorial, we will learn to use read.table function (which reads a file in table format and creates a data frame from it, with cases corresponding to lines and variables to fields in the file), and some of the arguments such as header argument and sep argument. ►We will learn to use file.choose function to choose a file interactively ►We will discuss how to use Menu options in RStudio to import data into R ►and we will also learn how to check the imported data to make sure it was imported correctly into R using the dim function to retrieve dimension of an object and specify the number of rows and columns of the imported data, the head function in R (head() function), which returns the first or last parts of a vector, matrix, table, data frame and will let us see the first several rows of the data, the tail function in R (tail() function) to see the last several rows of the data in R, the double square brackets in R to subset data (brackets lets you select or subset data from a vector, matrix, array, list or data frame) , and the names function in R to get the names of an object in R. ►►Practice with Dataset: https://statslectures.com/r-scripts-datasets ►► Watch More: ►Export Data from R (CSV , TXT and other formats): https://bit.ly/2PWS84w ►Getting Started with R (Series 1): https://bit.ly/2PkTneg ►Graphs and Descriptive Statistics in R (Series 2): https://bit.ly/2PkTneg ►Probability distributions in R (Series 3): https://bit.ly/2AT3wpI ►Bivariate analysis in R (Series 4): https://bit.ly/2SXvcRi ►Linear Regression in R (Series 5): https://bit.ly/1iytAtm ►ANOVA Concept and with R https://bit.ly/2zBwjgL ►Linear Regression Concept and with R https://bit.ly/2z8fXg1 ► Intro to Statistics Course: https://bit.ly/2SQOxDH ◼︎ Table of Content 0:00:07 How to read a dataset into R? we will use read.table function to read a dataset into R and save it as an object 0:00:27 How to access the help menu in R 0:01:02 How to let R know that the first row of our data is header? we can use header argument to let R know that the first row of our data is header 0:01:14 How to let R know how the observations are separated? we will use sep argument to let R know how the observations are separated 0:02:03 How to specify the path to a file in R? we can use file.choose function to specify the path to the file in R 0:03:15 How to use Menu options in R Studio to import data into R 0:05:23 How to prepare the Excel data for importing into R 0:06:15 How to know the dimensions (the number of rows and columns) of the data in R? we will use the dim function to know the dimensions of the data in R 0:06:35 How to see the first several rows of the data? the head function in R let us see the first several rows of the data 0:06:45 How to see the last several rows of the data in R? the tail function in R let us see the last several rows of the data 0:07:18 How to check if the data was read correctly into R? we can use the square brackets and subsetting data to verify that our data was read correctly into R 0:08:21 How to check the variable names in R? in this video, we will use the names function to check the variable names in R This video is a tutorial for programming in R Statistical Software for beginners, using RStudio. Follow MarinStatsLectures Subscribe: https://goo.gl/4vDQzT website: https://statslectures.com Facebook:https://goo.gl/qYQavS Twitter:https://goo.gl/393AQG Instagram: https://goo.gl/fdPiDn Our Team: Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC. Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH) These videos are created by #marinstatslectures to support some courses at The University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), although we make all videos available to the everyone everywhere for free. Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!
Python Web Hacking: robots.txt & Directory Indexing | Natas: OverTheWire (Levels 2-3)
Join the Family: https://discord.gg/Kgtnfw4 Support me on Patreon: https://patreon.com/johnhammond010 Learn to code with a TeamTreehouse Discount: treehouse.7eer.net/1WOz6 E-mail: [email protected] PayPal: http://paypal.me/johnhammond010 GitHub: https://github.com/JohnHammond Site: http://www.johnhammond.org Twitter: https://twitter.com/_johnhammond
Views: 3126 John Hammond
How to Use Twitter Widgets (not the Twitter App) in Canvas
Session details: https://community.canvaslms.com/events/2011-how-to-use-twitter-widgets-not-the-twitter-app-in-canvas
Views: 1034 CanvasLMS
How to Sort CSV files and lists in Python
This is a tutorial concerning how to sort CSV files and lists easily within python by column. The logic possibly by programming plus the simplicity of being able to sort columns makes python a superb choice for managing CSV documents and lists that are delimited by something. Sentdex.com Facebook.com/sentdex Twitter.com/sentdex
Views: 50768 sentdex
Capturing Data Using Triggers on ChronoScan Tips and Tricks
On this video we will learn how to capture data from our documents using a new trigger action called "Set Field Using Regular Expression Result". Very useful for capturing the same type of data on several different documents when intelli-tags or OCR fields would require some more work setting up. http://chronoscan.org/ https://twitter.com/chronoscan https://www.linkedin.com/company/chronoscan-capture https://www.facebook.com/Chronoscan [email protected] [email protected]
7 Days to Die Tutorial - Save File Locations & Backing Up Saves
In this 7 Days to die Tutorial, I'll show you the File Paths & How to Back Up World Saves. Part 1 of my modding tutorials. Showing you where the game files are installed and where the world saves are located. SMASH that LIKE button and SUBSCRIBE for More!! * Install Location: C:\Program Files\Steam\SteamApps\common\7 Days To Die. * Save Location: C:\users\username\appdata\roaming\7daystodie 7DTD Modding Playlist: https://www.youtube.com/playlist?list=PLYL9eL_H8WdFbncmxOAlKqriGNbYk8Y9b ► Subscribe On Youtube! https://goo.gl/LbtyqW ► Follow on VidMe: http://vid.me/capp00 ► Get 7 Days to Die: http://7daystodie.com Follow me on Social Media: ----------------------------------------------------------- ► Twitter: http://twitter.com/capp00 ► Live Streaming: https://www.twitch.tv/capp00 ► Instagram: http://instagram.com/capp00.tx ► Facebook: http://facebook.com/capp00gaming ► Amazon Affiliate: http://amzn.to/2gwRjgN **** My Tech Channel - CappTech: **** ► YT: https://www.youtube.com/c/capptech ► Facebook: http://www.facebook.com/capptech ----------------------------------------------------------- ►Save 10% on KontrolFreek's w/ Promo "Capp00" http://www.kontrolfreek.com/?a_aid=Capp00 Want to mail me something? Capp00 P.O. Box 174136 Arlington, TX. 76003 (Fan Art, Drawings, Post-Cards, Letters, Candy, T-shirts, hats, anything really) I'll unbox it live on video too. About #7DaysToDie : 7 Days to Die has redefined the survival genre, with unrivaled crafting and world-building content. Set in a brutally unforgiving post-apocalyptic world overrun by the undead, 7 Days to Die is an open-world game that is a unique combination of first person shooter, survival horror, tower defense, and role-playing games. It presents combat, crafting, looting, mining, exploration, and character growth, in a way that has seen a rapturous response from fans worldwide. Play the definitive zombie survival sandbox RPG that came first. Navezgane awaits! Thank You #CappNation
Views: 10856 Capp00
Fynch-More Than Just a Twitter Extension
Fynch enhances your Twitter experience by automatically analyzing your timeline for interesting patterns of activity. It is intended to be a tool that decomposes your timeline into smaller sets of tweets that are easier to consume. Fynch is great for identifying extremely high rates of activity, trending topic mentions, and the tweets of less active users in your following list. Keep up with all your friends, and even favorite celebrities, with Fynch's unique data mining technology that compiles your timeline into three kinds of "Fynch's", for easy, organized access. Interested in what one of your Twitter friends has to say? Tap the user's "Fynch", to unveil the group of tweets they have written. Want to go even further? Tap a Tweet that interests you and you will be immediately directed to your Twitter app for the favorite, re-tweet, and reply options. FEATURES: - Automatically analyzes your timeline for interesting patterns of activity. - Carbon fiber holo theme. - Google Now style cards. - Expandable inbox style notifications (Jelly Bean+). - Uses notification priorities (Jelly Bean+). SETTINGS: -Notifications ON/OFF -High Priority Notification -Configurable Tone -Time Analysis Sample Rate -Sensitivity "Stay in-the-know with Fynch!" REQUIREMENTS: - A Twitter account. - The official Twitter app or Falcon Pro if you want to reply to, retweet, or favorite a tweet.
Views: 47 Appspire.me
Market Basket Analysis - 2 Minute Demo from Alteryx
Analyze how likely customers are to buy certain products together to optimize merchandising. Learn more at http://www.alteryx.com/tableau
Views: 7577 Alteryx
Bitcoin 101 - The Nightmare of a 51% Attack - Part 2 - How to Destroy Bitcoin
There is no greater point of weakness in Bitcoin than a 51% attack. A fifty-one percent attack can shut down the network. This video discusses all the attack vectors available to an attacker. And there are many, even worse, the devastation available is catastrophic. While a 51% attack doesn't appear to offer a lot of financial gain, history is not just made up of rational actors. James goes through Transaction Denial of Service, Selfish Mining, Monopoly Mining and Double Spending, finding fault with proposed patches and solutions. It is not pretty. As Gavin Andresen says, if someone was able to run a 51% attack "that would be bad". We agree. It would be very bad. At the end of the video we discuss protocol changes that would make an attack much more difficult. We highlight Proof of Stake as a fallback algorithm. The biggest advantage is that POS provides a MUCH higher cost to the attacker for perpetrating such an attack. That, would be good. In part one, we go through a cost analysis of the current hardware needed to launch a successful 51% attack to get a better picture how much it might cost. Unfortunately, the numbers are lower than expected, and most of the previously published values come in three to fifty times higher than actuality. In part two we will talk more about what an attacker might be able to do (double spending is not the worse tool at their disposal) and we prod at some possible solutions. Stay tuned. Here's the links referenced in the video Gavin's Blog Post from May 2012 http://gavintech.blogspot.com/2012/05/neutralizing-51-attack.html The wiki page referencing the 51% attack https://en.bitcoin.it/wiki/Attacks#Attacker_has_a_lot_of_computing_power Vitalik Buterin's article discussing Selfish Mining http://bitcoinmagazine.com/7953/selfish-mining-a-25-attack-against-the-bitcoin-network/?utm_source=twitterfeed&utm_medium=twitter Welcome to WBN's Bitcoin 101 Blackboard Series -- a full beginner to expert course in bitcoin. We hope you enjoy. Please like, subscribe, comment or even drop a little jangly in our bitcoin tip jar 1javsf8GNsudLaDue3dXkKzjtGM8NagQe For World Bitcoin Network's GitHub Page https://github.com/wobine/blackboard101 For a great introduction to Python watch this 2-hour class https://www.youtube.com/watch?v=RrPZza_vZ3w Thanks, WBN
Views: 10501 CRI
Carry Document Header  Page to Section Headers on ChronoScan
On this video we will learn how to capture one barcode value from the first document and carry it over to subsequent documents using barcode triggers. http://chronoscan.org/ https://twitter.com/chronoscan https://www.linkedin.com/company/chronoscan-capture https://www.facebook.com/Chronoscan [email protected] [email protected]
Omnichannel Services - Conditional GETs
Today I'm going to talk about how you can create an omnichannel service that support a cool part of the HTTP standard called Conditional GETs. This feature is especially important for mobile solutions as it will save bandwidth and improve performance on both the client and server. In this example, I will use PHP and build on the service I created in a previous video (http://youtu.be/P9PaOq587g0), but the same functionality can be achieved on all major platforms, like any Java variation and .NET. Let's start with some theory. The basic idea is that the first call to the server is made as usual, and the response from the service include the requested data and a normal "OK" (200) HTTP response code. It also includes two specific headers, one with a date indicating when the resource was last changed, and the other with a unique identifier for the current version of the resource, called etag (entity tag). In the next request, the client will supply these two values, and this time the response depends on whether the resource has changed or not. If the resource was changed, the response format will be the same as the first response (with new data), but if the resource was not changed, only the "Not Modified" (304) HTTP response code is returned. This very quick response (only the HTTP headers are transferred in either direction) tells the client that the previously retrieved data is still valid, and can be shown to the user. Now it's time to create a service that implement this (see the code on http://cforsberg.com/?p=106) and just as in the original code (from the previous video), we start by getting the XML (line 2-3). Then we set the default time zone to GMT (line 4) and get the date when the feed was last changed from the XML (line 5). We create an etag by making an MD5 hash from that date (line 6) and set the two headers (line 7-8). Then we get the two headers (if they are present) from the request (line 9-10), and check whether the version that the client has is old or still valid (line 11). If it's still valid, we simply return the 304 status (line 13) and if not, se parse the XML as in the original code. To put this code on your server (using https://panic.com/coda), I just create a new file named getConditional.php, paste the code we just walked through, save it, and then it can be called with (replace with the IP of your server): So on the first request, we get a normal 200 response, and you can see the headers if you open the developer tools (I'm using Chrome, but this is possible in most browsers). When I make another request, you can see that I get a 304 response, and can inspect those headers. No matter how many times I make the request, I will continue to get 304 until the date in the back-end XML is changed. The nice thing when building apps is that most reusable libraries, like AFNetworking, has built-in support for conditional GETs, so there's actually minimal coding required to make use of this in an app. There you have an omnichannel service that support conditional GETs and that can be easily consumed by your apps or webs. Follow me on Twitter https://twitter.com/chrisforsberg Visit my site http://cforsberg.com
Views: 492 Chris Forsberg
UW|360 Season 4: Episode 13 - Daniela Witten - 30 under 30
Forbes Magazine has named Daniela Witten, Associate Professor of Biostatistics and Statistics at the University of Washington to its 30 under 30 list. Professor Witten improves the statistical tools used in genetic research. UW 360 hosted by Carolyn Douglas, looks at events, people and places at the University of Washington. http://uwtv.org/uw360 http://uwtv.org
Views: 8942 UW Video
How important is statistics in football? | CEO of WhoScored.com
Thanks to Cookups for helping us out with this video! Cristiano Acconci, CEO and Co-founder of WhoScored.com, sat down with Araf Noor of Plaantik for an exclusive one-on-one discussion on all things statistics and football. We dive deep about how the readily available football stats have changed the game on how football fans consume the sport - from betting to social media promotion. Subscribe to Plaantik for more videos! SOCIAL MEDIA: Facebook: @plaantik Instagram: @plaantik Twitter: @plaantik Snapchat: @plaantik ____________ Video is made for educational and entertainment purposes only. Content used in the video fall under the fair use policy of YouTube. Contact us: [email protected]
Views: 516 Plaantik
Extracting Facebook Posts - H2L video
In Informatica Developer, you can read social media data from web sites such as Facebook and LinkedIn. In this demo, we'll see how to use the Developer tool to extract wall posts from the Facebook web site.
Views: 9561 Informatica Support
Weka Text Classification for First Time & Beginner Users
59-minute beginner-friendly tutorial on text classification in WEKA; all text changes to numbers and categories after 1-2, so 3-5 relate to many other data analysis (not specifically text classification) using WEKA. 5 main sections: 0:00 Introduction (5 minutes) 5:06 TextToDirectoryLoader (3 minutes) 8:12 StringToWordVector (19 minutes) 27:37 AttributeSelect (10 minutes) 37:37 Cost Sensitivity and Class Imbalance (8 minutes) 45:45 Classifiers (14 minutes) 59:07 Conclusion (20 seconds) Some notable sub-sections: - Section 1 - 5:49 TextDirectoryLoader Command (1 minute) - Section 2 - 6:44 ARFF File Syntax (1 minute 30 seconds) 8:10 Vectorizing Documents (2 minutes) 10:15 WordsToKeep setting/Word Presence (1 minute 10 seconds) 11:26 OutputWordCount setting/Word Frequency (25 seconds) 11:51 DoNotOperateOnAPerClassBasis setting (40 seconds) 12:34 IDFTransform and TFTransform settings/TF-IDF score (1 minute 30 seconds) 14:09 NormalizeDocLength setting (1 minute 17 seconds) 15:46 Stemmer setting/Lemmatization (1 minute 10 seconds) 16:56 Stopwords setting/Custom Stopwords File (1 minute 54 seconds) 18:50 Tokenizer setting/NGram Tokenizer/Bigrams/Trigrams/Alphabetical Tokenizer (2 minutes 35 seconds) 21:25 MinTermFreq setting (20 seconds) 21:45 PeriodicPruning setting (40 seconds) 22:25 AttributeNamePrefix setting (16 seconds) 22:42 LowerCaseTokens setting (1 minute 2 seconds) 23:45 AttributeIndices setting (2 minutes 4 seconds) - Section 3 - 28:07 AttributeSelect for reducing dataset to improve classifier performance/InfoGainEval evaluator/Ranker search (7 minutes) - Section 4 - 38:32 CostSensitiveClassifer/Adding cost effectiveness to base classifier (2 minutes 20 seconds) 42:17 Resample filter/Example of undersampling majority class (1 minute 10 seconds) 43:27 SMOTE filter/Example of oversampling the minority class (1 minute) - Section 5 - 45:34 Training vs. Testing Datasets (1 minute 32 seconds) 47:07 Naive Bayes Classifier (1 minute 57 seconds) 49:04 Multinomial Naive Bayes Classifier (10 seconds) 49:33 K Nearest Neighbor Classifier (1 minute 34 seconds) 51:17 J48 (Decision Tree) Classifier (2 minutes 32 seconds) 53:50 Random Forest Classifier (1 minute 39 seconds) 55:55 SMO (Support Vector Machine) Classifier (1 minute 38 seconds) 57:35 Supervised vs Semi-Supervised vs Unsupervised Learning/Clustering (1 minute 20 seconds) Classifiers introduces you to six (but not all) of WEKA's popular classifiers for text mining; 1) Naive Bayes, 2) Multinomial Naive Bayes, 3) K Nearest Neighbor, 4) J48, 5) Random Forest and 6) SMO. Each StringToWordVector setting is shown, e.g. tokenizer, outputWordCounts, normalizeDocLength, TF-IDF, stopwords, stemmer, etc. These are ways of representing documents as document vectors. Automatically converting 2,000 text files (plain text documents) into an ARFF file with TextDirectoryLoader is shown. Additionally shown is AttributeSelect which is a way of improving classifier performance by reducing the dataset. Cost-Sensitive Classifier is shown which is a way of assigning weights to different types of guesses. Resample and SMOTE are shown as ways of undersampling the majority class and oversampling the majority class. Introductory tips are shared throughout, e.g. distinguishing supervised learning (which is most of data mining) from semi-supervised and unsupervised learning, making identically-formatted training and testing datasets, how to easily subset outliers with the Visualize tab and more... ---------- Update March 24, 2014: Some people asked where to download the movie review data. It is named Polarity_Dataset_v2.0 and shared on Bo Pang's Cornell Ph.D. student page http://www.cs.cornell.edu/People/pabo/movie-review-data/ (Bo Pang is now a Senior Research Scientist at Google)
Views: 139461 Brandon Weinberg
Google Cloud mining tutorial for WebDollar cryptocurrency (2019)
Check now the #webdollar project and take the new #bounty #reward. It is amazing how you can earn #webdollar without doing nothing, with PoS+PoW algorithm on https://webdollar.io/bounties Bellow are the scripts! ------------------------------------------------------------- 1. git clone https://github.com/WebDollar/Node-WebDollar.git Node-WebDollar1 #Note: it is recommended to clone WebDollar repo in your home user folder, eg: /home/YOUR_USER/ cd Node-WebDollar1 bash install-miner.sh 2. source ~/.profile 3. bash build-argon2.sh 4. npm run commands ------------------------------------------ Thumbs up if you enjoyed the video! ----------------------------------------------------------- WebDollar describes itself as a cryptocurrency that is fully native to the World Wide Web, written in JavaScript, and built around the concepts of simplicity, lightness, and portability. WebDollar's mission is to foster the mainstream adoption of cryptocurrency by creating the simplest user experience: • No installations • No downloads • No account creation or complicated configurations. • Wallet is created automatically and stored locally WebDollar uses a Non-Interactive Proofs of Proof of Work (NiPoPoW) consensus mechanism, which reportedly achieves trustlessness without requiring the download of the entire blockchain history - only the hardest proofs and blocks distinguish attackers from honest nodes (miners), which helps to validate the correct blockchain. The goal is to allow users to access the blockchain for mining from any device. WebDollar reportedly offers a hybrid browser mining, where blocks are mined with a hybrid algorithm using 66,(6)% PoS and 33,(3)% PoW which is ASIC-resistant and features a GPU-unfriendly hash function, Argon2d. For more info go to: Website on: https://WebDollar.io http://webdollar.io/#what-is-WebDollar https://webdollar.io/faq https://t.me/WebDollar https://www.instagram.com/webdollar.io/ https://webdollarminingpool.com/ https://facebook.com/webdollar.io https://twitter.com/webdollar_io https://github.com/WebDollar https://www.reddit.com/r/webdollar/ https://webdollarforum.com/ ------------------------------------------------------------------------------------------------------------------------------ WEBD$gC6BIsjxIGAbj2i2J5Xk7oQW90ixogeW+L$ #WebDollar #Bounty #Reward #Crypto #Mining #Money #Bitcoin #Cryptocurrency - #CryptoCoin - #AltCoins - #Cripto #Criptomoneda
The Connected Vehicle: How Analytics Drives Telematics Value
http://www.sas.com/automotive Learn how SAS' Internet of Things technology is turning mundane telematics trouble codes into real value in the automotive and trucking industries. When everything is connected, we need answers, we need the Analytics of Things. SAS AUTOMOTIVE SOLUTIONS Drive better decisions with the world’s best analytics. SAS has automotive solutions for: * Sales & Marketing * Product & Process Quality * Aftermarket Service * Credit & Finance * Supply & Demand Planning * And more... LEARN MORE ABOUT SAS SOLUTIONS FOR AUTOMOTIVE http://www.sas.com/en_us/industry/automotive.html SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 27906 SAS Software
Python Tutorial: Working with JSON Data using the json Module
In this Python Programming Tutorial, we will be learning how to work with JSON data. We will learn how to load JSON into Python objects from strings and how to convert Python objects into JSON strings. We will also see how to load JSON from a file and save those Python objects back to files. Let's get started... The code from this video can be found at: https://github.com/CoreyMSchafer/code_snippets/tree/master/Python-JSON Python File Objects: https://youtu.be/Uh2ebFW8OYM ✅ Support My Channel Through Patreon: https://www.patreon.com/coreyms ✅ Become a Channel Member: https://www.youtube.com/channel/UCCezIgC97PvUuR4_gbFUs5g/join ✅ One-Time Contribution Through PayPal: https://goo.gl/649HFY ✅ Cryptocurrency Donations: Bitcoin Wallet - 3MPH8oY2EAgbLVy7RBMinwcBntggi7qeG3 Ethereum Wallet - 0x151649418616068fB46C3598083817101d3bCD33 Litecoin Wallet - MPvEBY5fxGkmPQgocfJbxP6EmTo5UUXMot ✅ Corey's Public Amazon Wishlist http://a.co/inIyro1 ✅ Equipment I Use and Books I Recommend: https://www.amazon.com/shop/coreyschafer ▶️ You Can Find Me On: My Website - http://coreyms.com/ My Second Channel - https://www.youtube.com/c/coreymschafer Facebook - https://www.facebook.com/CoreyMSchafer Twitter - https://twitter.com/CoreyMSchafer Instagram - https://www.instagram.com/coreymschafer/ #Python
Views: 188306 Corey Schafer
Blockchain Tutorial For Beginners - 2 | Blockchain Technology | Blockchain Tutorial | Simplilearn
This Blockchain tutorial will help you understand what is block, how to add 2 blocks at the same time, forks, areas where Blockchain is used, future of Blockchain and at the end you will also see a use case on smart contract. A blockchain is a digitized, decentralized, public ledger of Bitcoin transactions. The technology verifies transactions and creates a “chain” of blocks of data including a timestamp that is linked to other blocks so one block can’t be changed. In simple words, Blockchain is a list of records (blocks) which stores data publicly and in chronological order and mining is the process of adding a block to the Blockchain. Now, let us get started and understand what is Blockchain and its features. Below topics are explained in this Blockchain tutorial: 1. The candidate Block ( 03:14 ) 2. Byzantime fault tolerance ( 04:19 ) 3. Adding 2 blocks at the same time ( 07:53 ) 4. Forks ( 09:51 ) - Soft forks - Hard forks 5. Other areas where Blockchain is used ( 12:38 ) 6. The future of Blockchain ( 13:15 ) 7. Blockchain jobs ( 14:11 ) 8. Use case : Movie ratings smart contract Blockchain Tutorial Part - 1 : https://www.youtube.com/watch?v=iYYf3w4RPDA Find the code here: https://github.com/pjai30/movieRatingApp To learn more about Blockchain, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 You can also go through the Slides here: https://goo.gl/PXeb7h Watch more videos on Blockchain: https://www.youtube.com/playlist?list=PLEiEAq2VkUUKmhU6SO2P73pTdMZnHOsDB #Whatisblockchain #Blockchain #Blockchaintutorial #Bitcoin #Blockchainonlinetraining #Blockchainforbeginners #BlockchainTechnology #Simplilearn Simplilearn’s Blockchain Certification Training has been designed for developers who want to decipher the global craze surrounding Blockchain, Bitcoin and cryptocurrencies. You’ll learn the core structure and technical mechanisms of Bitcoin, Ethereum, Hyperledger and Multichain Blockchain platforms, use the latest tools to build Blockchain applications, set up your own private Blockchain, deploy smart contracts on Ethereum and gain practical experience with real-world projects. Why learn Blockchain? Blockchain technology is the brainchild of Satoshi Nakamoto, which enables digital information to be distributed. A network of computing nodes makes up the Blockchain. Durability, robustness, success rate, transparency, incorruptibility are some of the enticing characteristics of Blockchain. By design, Blockchain is a decentralized technology which is used by a global network of the computer to manage Bitcoin transactions easily. Many new business applications will result in the usage of Blockchain such as Crowdfunding, smart contracts, supply chain auditing, etc. This Blockchain Certification course offers a hands-on training covering relevant topics in cryptocurrency and the wider Blockchain space. From a technological standpoint, you will develop a strong grasp of core Blockchain platforms, understand what Bitcoin is and how it works, learn key vocabulary and concepts commonly used when discussing Blockchain and understand why engineers are motivated to create an app with Ethereum. After completing this course, you will be able to: 1. Apply Bitcoin and Blockchain concepts in business situations 2. Build compelling Blockchain applications using the Ethereum Blockchain 3. Design, test and deploy secure Smart Contracts 4. Use the latest version of Ethereum development tools (Web3 v1.0) 5. Develop Hyperledger Blockchain applications using Composer Framework 6. Model the Blockchain applications using Composer modeling language 7. Develop front-end (client) applications using Composer API 8. Leverage Composer REST Server to design a web-based Blockchain solution 9. Design Hyperledger Fabric Composer Business Network 10. 10. Understand the true purpose and capabilities of Ethereum and Solidity The Blockchain Certification Training Course is recommended for: 1. Developers 2. Technologists interested in learning Ethereum, Hyperledger and Blockchain 3. Technology architects wanting to expand their skills to Blockchain technology 4. Professionals curious to learn how Blockchain technology can change the way we do business 5. Entrepreneurs with technology background interested in realizing their business ideas on the Blockchain Learn more at: https://www.simplilearn.com/blockchain-certification-training?utm_campaign=Blockchain-Tutorial-For-Beginners-Part1-ov8nVP6dowc&utm_medium=Tutorials&utm_source=youtube For more updates on courses and tips follow us on: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 2286 Simplilearn
Twitter Takipçi Sitelerine Bot User Kasma Programı - Muhteşem!
► Merhabalar, bugün ki videomda Twitter Takipçi Panelleri için User nasıl kasılır onu öğrettim eğer bu tarz videoların gelmesi istiyorsanız videoyu beğenmeyi ve abone olmayı unutmayın!. ► Gerekli Programlar ve Siteler Twitter Programı: http://ouo.io/fJONAn Güncel Proxy: http://ouo.io/TxUAy8 Link Kısaltarak Para Kazan: http://ouo.io/ref/yef1Pj61 Takipçi Sitesi: http://instagram.greyspigot.top ► Sosyal Medya Twitter; https://www.twitter.com/captainspytv Twitch.TV; https://www.twitch.tv/captainspy1 ETİKETLER; 0号室 twitter, 1 million twitter followers, 1 night twitter remix, 1 night twitter video, 2 twitter accounts 1 email, 2 twitter accounts on android, 2 twitter accounts on iphone, 2 twitter accounts same email, 3d twitter header, 3d twitter header template, 3d twitter header tutorial, 40404 twitter, 5 darkest twitter secrets, 5 twitter horror stories, 5 twitter stories, 50 cent twitter, 5sos answer twitter questions, 5sos twitter videos, 60 minutes twitter, 600 twitter beef, 600breezy twitter, 600breezy twitter beef, 67 twitter, 8cho twitter, 9 twitter posts, 911 twitter hack, 96猫 twitter, a twitter q&a, angular 2 twitter bootstrap, app inventor 2 twitter, apple watch 2 twitter, b brave twitter takeover, b.o.b twitter, bambi 2 twitterpated, battlefield 1 twitter, battlefield 1 twitter trailer, becky g twitter, big e twitter, black m twitter, bts v twitter update, bts v twitter video, bush 41 twitter, c'est quoi twitter, cardi b twitter, castiel y twitter, cincinnati zoo twitter, cinema 4d twitter header template, cinema 4d twitter header tutorial, cosas de twitteros, d rose 600 twitter, d rose twitter beef, d&b nation twitter, dear zindagi twitter video, drose 600 twitter, día igual twitter 6, e-girls twitter, en tu twitter y facebook, f'ing twitter, facebook e twitter, flex 2 twitter followers, flying j twitter, follow f twitter, follow kori twitter e, g eazy twitter, g herbo twitter, g herbo twitter beef, gary v twitter, gta 5 twitter, harris j twitter, i get twitter verified, i hate twitter, instagram y twitter, ios 9.3.3 twitter tweaks, iphone 6 twitter, iphone 7 twitter, iphone 7 twitter video, j balvin twitter, j cole twitter, j cole twitter hacked, j hope twitter, j money twitter, j money twitter beef, j quiles twitter, jak korzystać z twittera, jay-z twitter, jessie j twitter, jimin and v twitter, k michelle twitter, k.i twitter beef, ken bone 7 twitter followers, kim k twitter, l'amour de twitter, l'azer1785 twitter codes, l'histoire de twitter, l'oiseau de twitter, l'oiseau de twitter carmen, l'oiseau de twitter lou, l'oiseau de twitter paroles, l'oiseau de twitter stromae karaoké, l'oiseau de twitter stromae lou, l'oiseau de twitter the voice, lil b twitter, little t twitter, logo twitter 3d, louis ck 0 twitter, m lk twitter, m pokora twitter, m twitter com ubqari, mafia 3 twitter, ntagik ana f twitter, ntagik f twitter, o que e twitter, o que twitter, o twitter do rezendeevil, o twitter parou, o twitter vai falir, o'keefe twitter, p rico twitter beef, pauly d twitter, peter y twitter, piter g twitter, piter g twitter letra, preguntas de twitter 3, preguntas de twitter 4, preguntas de twitter 5, preguntas de twitter 6, preguntas de twitter 6 sonic, preguntas de twitter 7, preguntas de twitter 7 german garmendia, preguntas de twitter 8, preguntas de twitter 9, r twitter analysis, r twitter analytics, r twitter api, r twitter data, r twitter example, r twitter get tweets, r twitter mining, r twitter package, r twitter package tutorial, r twitter sentiment analysis, rajoy y twitter, raspberry pi 3 twitter, responsive 24/7 twitter, roblox wish_z twitter, rondo numba 9 twitter, s dot twitter beef, s'inscrire sur twitter, sincronizar facebook y twitter, singam 3 twitter, skybound 2 twitter codes, smash 4 twitter, smash 4 twitter tech, soy luna twitter 6, studio c twitter, t ara eunjung twitter, t matt twitter, tay600 twitter beef, top 5 twitter, top 5 twitter fails, top 5 twitter stories, tosh.0 twitter, tosh.0 twitter beef, tosh.0 twitter block party, tosh.0 twitter story, triple g twitter, triple h twitter, trump twitter 3am, twitter, twitter 0day, twitter 0day exploit, twitter 100 bin, twitter 100 bin takipçi, twitter 1000 takipçi, twitter 1000 takipçi hilesi, twitter 1000 takipçi hilesi 2017, twitter 1000 takipçi hilesi bedava, twitter 10000 takipçi hilesi, twitter 10k takipçi, twitter 140 karakter sınırı kaldırma, twitter 18, twitter 2 adımda doğrulama, twitter 2 hesap açma, twitter 2000 takipçi arttırma, twitter 2006, twitter 2007, twitter 2015, twitter 2016 tutorial, twitter 2017, twitter 2017 hesap silme, twitter 2017 takip etme kodu, twitter 3, twitter 30 second fights, twitter 34 ba 2051, twitter 3ds, twitter 4, twitter 400 takipçi arttırma, twitter 4j, twitter 500 takipçi, twitter 500 takipçi arttırma bedava, twitter 500 takipçi bedava, twitter 500 takipçi hilesi, twitter 5000 takipçi hilesi, twitter 5000 takipçi hilesi ücretsiz, twitter onaylanmış hesap hilesi, twitter verified account,
Views: 1170 Berkay S
Packet Hacking Village 2016, "Crawling for APIs" by Ryan Mitchell
As client machines become more powerful and JavaScript becomes more ubiquitous, servers are increasingly serving up code for browsers to execute, rather than the display-ready pages of the past. This changes the face of web scraping dramatically, as simply wget'ing and parsing the response from a URL becomes useless without executing bulky JavaScript with third party plugins, reading through code logic manually, and/or digging through piles of browser junk. However, moving page logic client side can also create data vulnerabilities, as companies leave internal APIs exposed to the world, in order for their client side code to make use of them. I'll show some examples of this practice on traditionally "impossible to scrape" pages, and also some tools I've developed to crawl domains and discover and document these hidden APIs in an automated way. While many bot prevention measures focus on traditional page scraping and site manipulation, scripts that crawl sites through API calls, rather than in a "human like" way through URLs, may present unique security challenges that modern web development practices do not sufficiently address. Ryan Mitchell (Twitter: @kludgist)
Views: 543 Wall of Sheep
How to make shiny Dashboard in R language in hindi
This is the power of R language through which you can make a dynamic dashboard very well and it's computation time is very less than other processing tools and language like python, hadoop, SAP etc.so if you wanna to learn these type of language please follow and subscribe me. And please leave comment regarding video
Views: 219 Tech Analyst
web application security scanner | WAscan | Kali Linux 2018.1
web application security scanner | WAscan | Kali Linux 2018.1 WAScan ((W)eb (A)pplication (Scan)ner) is a Open Source web application security scanner. It is designed to find various vulnerabilities using "black-box" method, that means it won't study the source code of web applications but will work like a fuzzer, scanning the pages of the deployed web application, extracting links and forms and attacking the scripts, sending payloads and looking for error messages,..etc. WAScan is built on python2.7 and can run on any platform which has a Python environment. Download:https://github.com/m4ll0k/WAScan Features:................... +Fingerprint -Detect Server -Detect Web Frameworks (22) -Check Cookie Security -Check Headers Security -Detect Language (9) -Detect Operating System (OS - 8) -Detect Content Management System (CMS - 6) -Detect Web Application Firewall (WAF - 54) +Attacks -Bash Command Injection (ShellShock) -Blind SQL Injection -SQL Injection via Cookie,Referer and User-Agent Header Value -Cross-Site Scripting (XSS) via Cookie,Referer and User-Agent -Header Value -Buffer Overflow -HTML Code Injection -PHP Code Injection -LDAP Injection -Local File Inclusion (lfi) -OS Commanding -SQL Injection -XPath Injection -Cross Site Scripting (XSS) +Audit -Apache Status -WebDav -PHPInfo -Robots Paths -Cross-Site Tracing (XST) +Bruteforce -Admin Panel -Backdoor (shell) -Backup Dirs -Backup Files -Common Dirs -Common Files +Disclosure -Credit Cards -Emails -Private IP -SSN -Detect Warnings,Fatal Error,...! 📍Installation: $ git clone https://github.com/m4ll0k/WAScan.git wascan $ cd wascan $ pip install -r requirements.txt $ python wascan.py ----------------------------------------------------------------------------------------------- ☑️Subscribe for More Videos: https://goo.gl/MrTQ5r Education Purpose Only !! 🌍Get More Tutorials Here: https://www.patreon.com/theshadowbrokers Follow Me: Face-book: https://goo.gl/ScNuSH Twitter: https://goo.gl/TTYpMR Stumble-upon: https://goo.gl/M5DnF6 Tumber: https://goo.gl/dzuhE9 -The NSA Hackers Thanks !
Views: 3433 The Shadow Brokers
Admin Panel Bypass Using No Redirect Add-ons
Admin Panel Bypass Using No Redirect Add-ons::: Dork: admin/index.php .............................................................................................................. Facebook: https://www.facebook.com/fir3.hawk5 ............................................................................................................... YouTube subscribe to channel: https://www.youtube.com/channel/UC1rTCXlWyxfe4WUuFF-rn4A .............................................................................................................. Twitter: https://twitter.com/Fir3_Hawk
Views: 2035 Fir3 Hawk
Brand and Design your MeetUp group page with logo and background image
Don't use BMP files. JPG is best!!! http://robcubbon.com
Views: 9689 Rob Cubbon
Photo Shopping (Paint.net) The Nite Lite Skin from Fortnite! | Speed Art
Speed Art Today, I am photoshopping the Nite Lite skin, from Fortnite Battle Royale! I am using the program, Paint.net! This program is free to use, and easy to learn! Ill have the download link down below! Upload Dates MONDAY : GAMING WEDNESDAY: GAMING FRIDAY: ART(usually) If you enjoyed this video, be sure to subscribe! https://goo.gl/DSVzHE ⬇️Check out channel⬇️ 🐦Follow me on Twitter! @tdawg52catnip Business Email : [email protected] Check out my Twitch! https://twitch.tv/tdawg_52_catnip ⬇️Check out the Paint.net⬇️ https://www.getpaint.net/download.html Thanks for watching! Buy the print, for $1! https://www.etsy.com/your/shops/TylersMegaCoolShop/tools/listings/652429121?ref=listing_card_body&from_page=/your/listings #tdawg52catnip #fortnite #paint.net Photo Shopping (Paint.net) The Nite Lite Skin from Fortnite! | Speed Art
Views: 159 Tdawg52catnip