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: 4831 MrExcel.com
What information do social media websites really collect and store about you? I will show you how to access that data from a few different social media pages and analyse it for your own use, even if you've never used python data analytics tools before! EVENT: PyCon Australia (“PyCon AU”) 2018 SPEAKER: Caitlin Macleod PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). CREDITS: Original video source: https://www.youtube.com/watch?v=JNZH95aXNXo
Views: 3177 Coding Tech
In this video, I show you how to web scrape a table. Kieng Iv/SAF Business Analytics https://ca.linkedin.com/in/kiengiv https://www.facebook.com/UWaterlooBusinessAnalytics
Views: 34818 SAF Business Analytics
Have you ever needed to pull data from a website and been frustrated by the lack of a download button or an API? Public data is available on every website you visit, and all it takes to scrape that data is a URL and some Alteryx magic. Using Alteryx, you can bring public website data directly into your workflows—without copying and pasting. In this session, we'll cover the Alteryx download tool, parsing tools, and batch macros.
Views: 7139 Alteryx
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!
Views: 352207 MarinStatsLectures- R Programming & Statistics
This tutorial demonstrates various preprocessing options in Weka. However, details about data preprocessing will be covered in the upcoming tutorials.
Views: 167903 Rushdi Shams
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: 89101 Skillshare
Import Data, Copy Data from Excel (or other spreadsheets) to R CSV & TXT Files; Practice with Dataset: (https://bit.ly/2rOfgEJ) 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!
Views: 577694 MarinStatsLectures- R Programming & Statistics
This Spark Tutorial For Beginner will give an overview on history of spark, Batch vs real-time processing, Limitations of MapReduce in Hadoop, Introduction to Spark, Components of Spark Project and a comparision between Hadoop ecosystem and Spark. This Spark Tutorial will explain: 1. History of Spark 2. Introduction to Spark 3. Spark Components 4. Spark Advantages Apache Spark is an open-source cluster-computing framework. Originally developed at the University of California, Berkeley's AMPLab, the Spark codebase was later donated to the Apache Software Foundation, which has maintained it since. Spark provides an interface for programming entire clusters with implicit data parallelism and fault-tolerance. Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials - https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Check our Big Data Training Video Playlist: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ Big Data and Analytics Articles - https://www.simplilearn.com/resources/big-data-and-analytics?utm_campaign=Bigdata-Spark-QaoJNXW6SQo&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Big Data and Hadoop, check our Big Data Hadoop and Spark Developer Certification Training Course: https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=Bigdata-Spark-QaoJNXW6SQo&utm_medium=Tutorials&utm_source=youtube #bigdata #bigdatatutorialforbeginners #bigdataanalytics #bigdatahadooptutorialforbeginners #bigdatacertification #HadoopTutorial - - - - - - - - - About Simplilearn's Big Data and Hadoop Certification Training Course: The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form. As a part of the course, you will be required to execute real-life industry-based projects using CloudLab. The projects included are in the domains of Banking, Telecommunication, Social media, Insurance, and E-commerce. This Big Data course also prepares you for the Cloudera CCA175 certification. - - - - - - - - What are the course objectives of this Big Data and Hadoop Certification Training Course? This course will enable you to: 1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames - - - - - - - - - - - Who should take up this Big Data and Hadoop Certification Training Course? Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals: 1. Software Developers and Architects 2. Analytics Professionals 3. Senior IT professionals 4. Testing and Mainframe professionals 5. Data Management Professionals 6. Business Intelligence Professionals 7. Project Managers 8. Aspiring Data Scientists - - - - - - - - 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: 79596 Simplilearn
( 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: 46809 edureka!
Which2 is an instance based learner written in lisp, designed to discover rules that predict for given classes. Which2Gui is a graphic interface written in python that sits on top of Which2 and provides a pretty box to look at while datamining.
Views: 171 aperhins
In this video, I show you how to gather email information using a tool called Infoga and Kali Linux 2017.1. Infoga is a tool for gathering e-mail accounts information from different public sources (search engines, pgp key servers). Is a really simple tool, but very effective for the early stages of a penetration test or just to know the visibility of your company in the Internet. Infoga: https://github.com/m4ll0k/Infoga.git Installation: git clone https://github.com/m4ll0k/Infoga.git cd Infoga pip install -r requires.txt python infoga.py Contacr me : E-mail:[email protected] Facebook:fb.com/th3justhacker Twitter:@th3justhacker
Views: 10635 Just Hacker
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: 136756 Brandon Weinberg
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]
Import Twitter Data (Twitter Search) in Power BI! If you are a member of Curbal.com (it is free), you can download the file here: http://curbal.com/blog/discover-and-analyze-what-people-are-saying-in-twitter-about-your-company-with-power-bi Keynotes: Chris Koester Blog: 00:24 Create a Twitter API key 00:52 Import Twitter data into Power BI 03:18 Create a Parameters for Twitter Search 05:53 Create the first Twitter Report 08:01 Clean Twitter data with Power Query 08:20 Link to Chris' blog post: http://chris.koester.io/index.php/2015/07/16/get-data-from-twitter-api-with-power-query/ Looking for a download file? Go to our Download Center: https://curbal.com/donwload-center SUBSCRIBE to learn more about Power and Excel BI! https://www.youtube.com/channel/UCJ7UhloHSA4wAqPzyi6TOkw?sub_confirmation=1 Our PLAYLISTS: - Join our DAX Fridays! Series: https://goo.gl/FtUWUX - Power BI dashboards for beginners: https://goo.gl/9YzyDP - Power BI Tips & Tricks: https://goo.gl/H6kUbP - Power Bi and Google Analytics: https://goo.gl/ZNsY8l ABOUT CURBAL: Website: http://www.curbal.com Contact us: http://www.curbal.com/contact ▼▼▼▼▼▼▼▼▼▼ If you feel that any of the videos, downloads, blog posts that I have created have been useful to you and you want to help me keep on going, here you can do a small donation to support my work and keep the channel running: https://curbal.com/product/sponsor-me Many thanks in advance! ▲▲▲▲▲▲▲▲▲▲ QUESTIONS? COMMENTS? SUGGESTIONS? You’ll find me here: ► Twitter: @curbalen, @ruthpozuelo ► Google +: https://goo.gl/rvIBDP ► Facebook: https://goo.gl/bME2sB ► Linkedin: https://goo.gl/3VW6Ky
Views: 9510 Curbal
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
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: 5161 tothepc
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: 296609 sentdex
Start Your Hacking Career with my video courses Buy with your Debit/Credit/Netbanking (For Beginners - 14 Days Video Course) Quick Hack Hacking Course: http://imojo.in/681ivb (Best Hacking Course After Quick Hack) Tech Master Hacking Course: http://imojo.in/9srl0c Quick Hack: 299 Rs Tech Master: 299 Rs Or (Ya fir) Buy Hacking Courses With Paytm: http://technicalsagar.in/paytm/ ==================================================================== Hello Friends In this video i will be talking about http headers and get/post method and how hackers use tamper data to shop and buy things on very cheap price, You must be aware of such news when hacker bought airlines tickets and products for only rs 1 and so. I will explain how these things are done. Main motive of this video is to explain how things work so that you can save yourself and gain some knowledge of cybersecurity. My Funny Video On Diwali: https://youtu.be/toEFs1HkmY4 For all updates : LIKE My Facebook Page https://www.facebook.com/technicalsag... Follow Me on Twitter: http://www.twitter.com/iamasagar Follow Abhishek Sagar on Instagram: theabhisheksagar My Setup Camera: http://amzn.to/2xi1POu Collar Mic: http://amzn.to/2gb0J36 Mic: http://amzn.to/2xxBknx Graphics Card: http://amzn.to/2xxLHrH My Second Monitor (Very Affordable): http://amzn.to/2f4swil My Phone: http://amzn.to/2wIqlZD My Lights: http://amzn.to/2eGiG5B ========================================================== My Second Channel For Entertainment: https://youtube.com/SagarKiVani Thanks and Love #TechnicalSagar LIKE | COMMENT | SHARE | SUBSCRIBE ============================================================================================================================================================================================================================================================================== Cartoon - On & On (feat. Daniel Levi) [NCS Release] https://youtu.be/K4DyBUG242c ▽ Follow Cartoon SoundCloud https://soundcloud.com/cartoonbaboon Facebook https://www.facebook.com/cartoondband ▽ Follow Daniel Levi (vocalist) Facebook http://facebook.com/daniellevimusic Website http://daniellevi.eu/
Views: 155 Technical Sagar
Plagiarism Comparison Tool is one of the most used tool by teachers. In this video Tutorial you can check how you can Compare a File with a File Compare a File With a Webpage URL Compare a File With Plain Text Live Tool: https://www.prepostseo.com/plagiarism-comparison-search
Views: 1140 PrePost SEO
The Online Presence Audit is our preliminary recon to evaluate a company's online presence. Follow along with this step-by-step process and learn from the tools and tips. For more info visit: http://www.alanjboyd.com 0:01 Intro 1:24 Website Header, Logo 2:39 Main Navigation 3:25 CTA Banner 4:06 Main Image Banner Homepage 6:00 Lower Homepage 8:09 Site Footer 8:45 Contact Emails 10:00 Contact Phone Number 11:16 Owner Corner 12:45 Whois Registration Ownership & Hosting 13:15 Hosting Environment 15:12 Wayback Archive, Site Evolution 17:41 Social Footer Links 18:02 Facebook, Vanity URL, Unverified, Reviews, Likes, etc. 20:08 Twitter, WorldHotels? 21:45 Revisiting the site, About page 23:25 Think With Google Speed Test, Mobile home page 25:44 Pingdom Speed Test 26:08 Non-Secure (Non-HTTPS) Website Encryption 26:53 Online Booking Software 27:55 GTMetrix Loading Speed Analysis 28:32 Google Mobile-Friendly Test, Mobile Landing Page 29:24 Google Search Operator, Indexed pages 30:07 Google Branded Search Results, Ads, Listing, Reviews 33:50 Trip Advisor Profile, Sales Copy Ideas. 37:30 Yelp Profile, data mining. 39:26 Hotels.com Profile 39:38 Booking.com Profile 39:45 Ahrefs Pro Tool site analysis, Rating, Keywords, Top Pages, Branded Search. 43:42 SEMRush Pro Tool, Competitor Map, Reverse Engineering. 45:28 SpyFu Review, SEO vs PPC, Competitor Ad Spend Monthly. 48:43 Website Design Comparison vs Competitors 55:59 Organic Traffic Competitor Comparison 56:54 Company Video 58:58 Audit Summary Tools Used: https://www.whois.com/ https://archive.org/web/ https://testmysite.thinkwithgoogle.com/intl/en-us https://tools.pingdom.com/ https://gtmetrix.com/ https://search.google.com/test/mobile-friendly http://www.yext.com/
Views: 69 Alan J. Boyd
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: 2716 John Hammond
We know that social media posting is nothing without analytics; it’s like shooting in the dark. Everything we post has to make sense and has to be addressed to our followers. That’s why it’s important to know who our followers are and where they are located. Whether you are an international brand looking to create marketing campaigns for followers in a specific country, or an artist with performances in different cities who wants to get in touch with those followers - it’s important to know who and WHERE they are coming from. 0:42 - All of the information you need to know about your followers 1:00 - Analyzing your followers’ location: weekly stats 2:23 - Tweepsmap’s interactive follower map 3:39 - Exporting lists of followers 4:19 - Tweepsmap’s Growth/Decline tool Find the Tweepsmap plan that’s right for you: https://tweepsmap.com/signup For more FREE training on the capabilities and efficiency of the Tweepsmap platform, subscribe to our YouTube channel today: https://www.youtube.com/channel/UCgilMVYfZCS9WmgGLnZZBNA Follow @Tweepsmap: Twitter: https://twitter.com/tweepsmap Facebook: https://www.facebook.com/Tweepsmap Tweepsmap Blog: https://tweepsmap.com/blog New to Tweepsmap? Begin exploring the leading intelligence, publishing and listening platform for social media. Get deep analytics of your followers, followers of competitors and trending topics within your target audience so that you can design targeted and cost effective marketing or ad campaigns, and grow your revenue. Use Tweepsmap’s extensive publishing tools to drive engagement and build your community.
Views: 901 Tweepsmap
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: 10413 CRI
Get our FREE 4 iOS courses collection: http://DevelopersAcademy.io/freemium This video tutorial is brought to you by Developers Academy. This is the place where we teach our students to Design, Prototype and Develop the best iOS apps in the world! Thousands of students have been joining Developers Academy and take our courses to master iOS development, to design and create their own apps. This video is Duc’s free-style video. Duc is Developers Academy’s founder and executive producer. Today, he would love to invite you to take our FREE collection of iOS crash courses at Developers Academy and take your iOS skills to a whole new level. Take these FREE iOS Development Tutorial courses here: http://DevelopersAcademy.io/freemium If you would like to take our full iOS courses collection comprised of thousands of video tutorials, resources and courses, sign up here: bit.ly/developers-academy Join our students group of Facebook: bit.ly/da-students Subscribe to our Youtube channel to get more tutorials daily: bit.ly/da-youtube Join our FREE iOS courses: http://DevelopersAcademy.io/freemium
Views: 2903 David Tran
Start Earning $LUME - The LumEOS App has Launched - Walkthrough The LumEOS app is slick, smooth and professional, a pleasure to use and easy to begin earning Lumeos tokens with straight away, Crypto Tim downloads the app and has a look! Lumeos links: https://lumeos.io/ Play store: https://play.google.com/store/apps/details?id=com.lumeos Apple: https://itunes.apple.com/us/app/lumeos/id1418832110?ls=1&mt=8 Telegram: https://t.me/lumeos Support the show and make some money at the same time: EOS Poker: https://eospoker.win/?ref=bitcoinhomer EOS Royale: https://roulette.eosroyale.com/?ref=bitcoinhomer Bet Dice: https://betdice.one/?ref=bitcoinhomer EOS Play Dice (block header dice): https://eosplay.com/link/bitcoinhomer EOS Books https://eosbooks.io/books?refer=bitcoinhomer EOSBetDice: https://dice.eosbet.io/?ref=bitcoinhomer Only play with what you can afford to lose. Subscribe to the EOS Gamers channel: https://www.youtube.com/channel/UCfsz23qp5q6WR7inAalLRYw Support the show, donate to EOS address: cryptotimmay Contact Crypto Tim: Twitter: https://twitter.com/AusCryptoTim Telegram: @LifeLibertyCrypto Vote: FreedomProxy for the number 1 vote for a strong, independent decentralised eos https://www.freedomproxy.org/ Subscribe to my channel to hear about my upcoming crypto giveaway. https://youtu.be/vWmzmnbIFF4 DISCLAIMER: Nothing in this video is financial advice. This is just my opinions. I am not responsible for any investment decisions or gaming/gambling that you partake in.
Views: 764 Crypto Tim
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: 3141 The Shadow Brokers
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 0.0.0.0 with the IP of your server): http://0.0.0.0/getConditional 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: 480 Chris Forsberg
Tried out octokit for fetching repos from the GitHub API. Code: https://github.com/benawad/codeponder Watch at 6pm CT: https://www.twitch.tv/benawad ---- If you like cooking, checkout my side project: https://www.mysaffronapp.com/ ---- Join the Discord: https://discord.gg/Vehs99V ---- Patreon: https://www.patreon.com/benawad ---- Follow Me Online Here: Medium: https://medium.com/@benawad Twitter: https://twitter.com/benawad97 GitHub: https://github.com/benawad Facebook: https://www.facebook.com/benawad97/ LinkedIn: https://www.linkedin.com/in/benawad/ Instagram: http://instagram.com/benawad97
Views: 573 Ben Awad
Views: 5068 EvilTester - Software Testing
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: 1800 Informatica HowTo
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]
This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, visit [http://bit.ly/2rdofNF]. When the density of data increases in a particular region of a plot, it becomes hard to read. So in this video, the sunflower plots are used as variants of scatter plots to display bivariate distribution. • Load the Galton data • Examine the headers and first six observations • Construct a sunflower plot For the latest Application development video tutorials, please visit http://bit.ly/1HCjJik Find us on Facebook -- http://www.facebook.com/Packtvideo Follow us on Twitter - http://www.twitter.com/packtvideo
Views: 203 Packt Video
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Views: 2195 Serpstat
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: 2583 WekaMOOC
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Views: 1079 Berkay S
Analyze how likely customers are to buy certain products together to optimize merchandising. Learn more at http://www.alteryx.com/tableau
Views: 7358 Alteryx
This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, visit [http://bit.ly/2mIvyh4]. This video provides you a synopsis of the course. For the latest Big Data and Business Intelligence video tutorials, please visit http://bit.ly/1HCjJik Find us on Facebook -- http://www.facebook.com/Packtvideo Follow us on Twitter - http://www.twitter.com/packtvideo
Views: 494 Packt Video
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: 4147 WekaMOOC
Session details: https://community.canvaslms.com/events/2011-how-to-use-twitter-widgets-not-the-twitter-app-in-canvas
Views: 992 CanvasLMS
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: 1695 Simplilearn
Don't use BMP files. JPG is best!!! http://robcubbon.com
Views: 9609 Rob Cubbon
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.
Views: 5494 webpwnized
An Introduction to Colourtext: A semantic analysis dashboard based on a world-leading Natural Language Processing Engine, and a powerful data discovery platform. Colourtext uses emotional intelligence to process natural language text. We can process natural language text from: CRM Social Media Market Research
Views: 373 Colourtext
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: 1995 Fir3 Hawk
Intrusion Detection Systems (IDS) and its Types (Network + Host Based) in Hindi Intro An intrusion detection system (IDS) is a device or software application that monitors a network or systems for malicious activity or policy violations. Any detected activity or violation is typically reported either to an administrator or collected centrally using a security information and event management (SIEM) system. A SIEM system combines outputs from multiple sources, and uses alarm filtering techniques to distinguish malicious activity from false alarms. There is a wide spectrum of IDS, varying from antivirus software to hierarchical systems that monitor the traffic of an entire backbone network. The most common classifications are network intrusion detection systems (NIDS) and host-based intrusion detection systems (HIDS). A system that monitors important operating system files is an example of a HIDS, while a system that analyzes incoming network traffic is an example of a NIDS. It is also possible to classify IDS by detection approach: the most well-known variants are signature-based detection (recognizing bad patterns, such as malware) and anomaly-based detection (detecting deviations from a model of "good" traffic, which often relies on machine learning). Some IDS have the ability to respond to detected intrusions. Systems with response capabilities are typically referred to as an intrusion prevention system. Network intrusion detection systems Network intrusion detection systems (NIDS) are placed at a strategic point or points within the network to monitor traffic to and from all devices on the network. It performs an analysis of passing traffic on the entire subnet, and matches the traffic that is passed on the subnets to the library of known attacks. Once an attack is identified, or abnormal behavior is sensed, the alert can be sent to the administrator. An example of an NIDS would be installing it on the subnet where firewalls are located in order to see if someone is trying to break into the firewall. Ideally one would scan all inbound and outbound traffic, however doing so might create a bottleneck that would impair the overall speed of the network. OPNET and NetSim are commonly used tools for simulation network intrusion detection systems. NID Systems are also capable of comparing signatures for similar packets to link and drop harmful detected packets which have a signature matching the records in the NIDS. When we classify the design of the NIDS according to the system interactivity property, there are two types: on-line and off-line NIDS, often referred to as inline and tap mode, respectively. On-line NIDS deals with the network in real time. It analyses the Ethernet packets and applies some rules, to decide if it is an attack or not. Off-line NIDS deals with stored data and passes it through some processes to decide if it is an attack or not. Host intrusion detection systems Host intrusion detection systems (HIDS) run on individual hosts or devices on the network. A HIDS monitors the inbound and outbound packets from the device only and will alert the user or administrator if suspicious activity is detected. It takes a snapshot of existing system files and matches it to the previous snapshot. If the critical system files were modified or deleted, an alert is sent to the administrator to investigate. An example of HIDS usage can be seen on mission critical machines, which are not expected to change their configurations. Intrusion detection systems can also be system-specific using custom tools and honeypots. Find More Info at https://goo.gl/L2XzQg Like Facebook Page https://www.facebook.com/genrontech Follow Twitter Page https://twitter.com/GenronTech Follow Google Pag https://plus.google.com/+Genrontechdotcom Follow Pinterest https://in.pinterest.com/genrontech
Views: 19222 Genron Tech