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Introduction to Data Science with R - Data Analysis Part 1
 
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Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc
Views: 772863 David Langer
Rattle - Data Mining in R
 
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Overview of using Rattle - a GUI data mining tool in R. Overview covers some of the basic operations that can be performed in Rattle such as loading data, exploring the data and applying some of the data mining algorithms on the data - all this without actually having to type any R code
Views: 32304 Melvin L
Datamining project using R progamming part1
 
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code in R programming and ppt . Project:Stock predictor for pharmacy(Tablets). Data mining in R Studio
Views: 8497 Saiprasad Shettar
Association Rule Mining in R
 
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This video is using Titanic data file that's embedded in R (see here: https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/Titanic.html). You can find both the data and the code here: https://github.com/A01203249/YouTube-Videos.git. Use git clone to clone this repo locally and use the code.
Views: 43713 Ani Aghababyan
Learning Data Mining with R : Example – Using a Single Line of Code in R | packtpub.com
 
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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/2lXhDAx]. The aim of this video is to show how powerful R is as a data language. We will query an internal example dataset and show how it can be filtered and aggregated on. • Learn about the structure of the internal mtcars dataset • Filter on the dataset • Aggregate on the dataset 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: 267 Packt Video
R Tutorial 21: Binning data
 
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R Tutorial 21: Binning data Explains how to Bin / Bucket Data in R using Cut, Pretty and Range Functions in R. It is also used to convert continuous variable to categorical variables. The software that is used for data mining / machine learning / data science / advanced analytics statistical computing and mathematical problem solving. For more detailed discussions on various topics checkout: http://rstatistics.net/ http://rstatistics.net/r-tutorial-exercise-for-beginners/ Get regular awesome tips on R programming twitter: http://twitter.com/r_programming Like our 'One R Tip A Day' facebook page and check get notifications in the 'like' button dropdown to get nice R tips on your news feed every day! http://facebook.com/rtipaday Subscribe NOW! by clicking the 'Subscribe Button'. For Best Results, watch in HD. R is world's most widely used open source statistical programming language. It's the # 1 choice of data scientists and supported by a vibrant and talented community of contributors. R is taught in universities and deployed in businesses worldwide. This latest R Programming Course for Data Science is most suitable for Non-Programmer statisticians and Newbies who want to become the most coveted Data science professional that most companies are looking for.
Views: 30586 LearnR
Basic Data Analysis in RStudio
 
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This clip explains how to produce some basic descrptive statistics in R(Studio). Details on http://eclr.humanities.manchester.ac.uk/index.php/R_Analysis. You may also be interested in how to use tidycerse functionality for basic data analysis: https://youtu.be/xngavnPBDO4
Views: 105259 Ralf Becker
Rattle for Data Mining - Using R without programming (CRAN)
 
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www.learnanalytics.in demostrates use of an free and open source platform to build sophisticated predictive models. We demonstrate using R package Rattle to do data analysis without writing a line of r code. We cover hypothesis testing, descriptive statistics, linear and logistic regression with a flavor of machine learning (Random Forest, SVM etc.). Also using graphs such as ROC curves and Area under curves (AUC) to compare various models. To download the dataset and follow on your own follow http://www.learnanalytics.in/datasets/Credit_Scoring.zip
Views: 40730 Learn Analytics
Text mining in R and Twitter Sentiment Analytics
 
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- Learn how to Analyse sentiments on anything being said on Twitter - Get your own Twitter developer app key and pull tweets - Understand what is sentiment analytics and text mining - Create impressive word clouds - Map sentiments on any topic and break them into bar graphs
Views: 18149 Equiskill Insights LLP
How to Perform K-Means Clustering in R Statistical Computing
 
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In this video I go over how to perform k-means clustering using r statistical computing. Clustering analysis is performed and the results are interpreted. http://www.influxity.com
Views: 175173 Influxity
R  - Regression Trees - CART
 
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Regression Trees are part of the CART family of techniques for prediction of a numerical target feature. Here we use the package rpart, with its CART algorithms, in R to learn a regression tree model on the msleep' data set available in the ggplot2 package.
Views: 30294 Jalayer Academy
Decision Tree with R | Complete Example
 
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Also called Classification and Regression Trees (CART) or just trees. R file: https://goo.gl/Kx4EsU Data file: https://goo.gl/gAQTx4 Includes, - Illustrates the process using cardiotocographic data - Decision tree and interpretation with party package - Decision tree and interpretation with rpart package - Plot with rpart.plot - Prediction for validation dataset based on model build using training dataset - Calculation of misclassification error Decision trees are an important tool for developing classification or predictive analytics models related to analyzing big data or data science. R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
Views: 39709 Bharatendra Rai
Introduction to Cluster Analysis with R - an Example
 
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Provides illustration of doing cluster analysis with R. R File: https://goo.gl/BTZ9j7 Machine Learning videos: https://goo.gl/WHHqWP Includes, - Illustrates the process using utilities data - data normalization - hierarchical clustering using dendrogram - use of complete and average linkage - calculation of euclidean distance - silhouette plot - scree plot - nonhierarchical k-means clustering Cluster analysis is an important tool related to analyzing big data or working in data science field. Deep Learning: https://goo.gl/5VtSuC Image Analysis & Classification: https://goo.gl/Md3fMi R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
Views: 82857 Bharatendra Rai
Learning Data Mining with R : Market Basket Analysis | packtpub.com
 
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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/2lXhDAx]. The aim of this video is to show a little example to motivate the attendee based on the standard market basket analysis. • Load and parse transaction data • Calculate measures on the data • Generate and inspect association rules 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: 525 Packt Video
Learning Data Mining with R : The Course Overview | packtpub.com
 
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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/2lXhDAx]. This video gives an overview of the entire 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: 251 Packt Video
R Data Mining Projects : The Course Overview | packtpub.com
 
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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/2lVMHEP]. This video provides an overview of the entire 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: 231 Packt Video
Twitter text mining with R
 
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You may visit my website for video and R codes. http://web.ics.purdue.edu/~jinsuh/analyticspractice-twitter.php
Views: 837 Jinsuh Lee
Code | Market Basket Analysis | Association Rules | R Programming
 
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In my previous video I talked about the theory of Market basket analysis or association rules and in this video I have explained the code that you need to write to achieve the market basket analysis functionality in R. This will help you to develop your own market basket analysis or association rules application to mine the important rules which are present in the data.
R - Association Rules - Market Basket Analysis (part 1)
 
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Association Rules for Market Basket Analysis using arules package in R. The data set can be load from within R once you have installed and loaded the arules package. Association Rules are an Unsupervised Learning technique used to discover interesting patterns in big data that is usually unstructured as well.
Views: 49368 Jalayer Academy
Intro to Machine Learning with R & caret
 
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Lecture starts at 3:00 The R programming language is experiencing rapid increases in popularity and wide adoption across industries. This popularity is due, in part, to R’s huge collection of open source machine learning algorithms. If you are a data scientist working with R, the caret package (short for [C]lassification [A]nd [RE]gression [T]raining) is a must-have tool in your toolbelt. The caret package provides capabilities that are ubiquitous in all stages of the data science project lifecycle. Most important of all, caret provides a common interface for training, tuning, and evaluating more than 200 machine learning algorithms. Not surprisingly, caret is a sure fire way to accelerate your velocity as a data scientist! In this presentation Dave Langer will provide an introduction to the caret package. The focus of the presentation will be using caret to implement some of the most common tasks of the data science project lifecycle and to illustrate incorporating caret into your daily work. Attendees will learn how to: • Create stratified random samples of data useful for training machine learning models. • Train machine learning models using caret’s common interface. • Leverage caret’s powerful features for cross-validation and hyperparameter tuning. • Scale caret via use of multi-core, parallel training. • Increase their knowledge of caret’s many features. R code and accompanying dataset: https://github.com/datasciencedojo/meetup/tree/master/intro_to_ml_with_r_and_caret caret website: http://topepo.github.io/caret/index.html Learn more about David here: https://www.meetup.com/data-science-dojo/events/239730653/ -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 2700+ from over 400 companies globally. This channel contains tutorials, community talks, and courses on data science and data engineering. -- Learn more about Data Science Dojo here: http://bit.ly/2raYlcw See what our past attendees are saying here: http://bit.ly/2rRayVB -- Like Us: https://www.facebook.com/datasciencedojo/ Follow Us: https://twitter.com/DataScienceDojo Connect with Us: https://www.linkedin.com/company/data-science-dojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo/ Vimeo: https://vimeo.com/datasciencedojo
Views: 30051 Data Science Dojo
Introduction to Event Log Mining with R
 
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Event logs are everywhere and represent a prime source of Big Data. Event log sources run the gamut from e-commerce web servers to devices participating in globally distributed Internet of Things (IoT) architectures. Even Enterprise Resource Planning (ERP) systems produce event logs! Given the rich and varied data contained in event logs, mining these assets is a critical skill needed by every Data Scientist, Business/Data Analyst, and Program/Product Manager. At this meetup, presenter Dave Langer, will show how easy it is to get started mining your event logs using the OSS tools of R and ProM. Dave will cover the following during the presentation: • The scenarios and benefits of event log mining • The minimum data required for event log mining • Ingesting and analyzing event log data using R • Process Mining with ProM • Event log mining techniques to create features suitable for Machine Learning models • Where you can learn more about this very handy set of tools and techniques *R source code will be made available via GitHub here: https://github.com/EasyD/IntroToEventLogMiningMeetup Find out more about David here: https://www.meetup.com/data-science-dojo/events/235913034/ -- Learn more about Data Science Dojo here: http://bit.ly/2lZC5jq -- Like Us: https://www.facebook.com/datasciencedojo/ Follow Us: https://twitter.com/DataScienceDojo Connect with Us: https://www.linkedin.com/company/data-science-dojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo/ Vimeo: https://vimeo.com/datasciencedojo
Views: 5017 Data Science Dojo
Text Analytics with R | How to Scrap Website Data for Text Analytics | Web Scrapping in R
 
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In this text analytics with R tutorial, I have talked about how you can scrap website data in R for doing the text analytics. This can automate the process of web analytics so that you are able to see when the new info is coming, you just run the R code and your analytics will be ready. Web scrapping in R is done by using the rvest package. Text analytics with R,how to scrap website data in R,web scraping in R,R web scraping,learn web scraping in R,how to get website data in R,how to fetch web data in R,web scraping with R,web scraping in R tutorial,web scraping in R analytics,web scraping in r rvest,web scraping and r,web scraping regex,web scraping facebook in r,r web scraping rvest,web scraping in R,web scraper with r,web scraping in r pdf,web scraping avec and r,web scraping and r
Text Analytics with R | Sentiment Analysis with R | Part 1 | Basics
 
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In this text analytics with R video, I’ve talked about the basics of sentiments analysis with the help of sentimetr package. sentimentr package is really powerful to evaluate the sentences and give them a number basic on how powerful the sentiment is. Because it provides the numeric value to the sentences, it gives us a lot of flexibility for categorizing numbers to understand people’s emotions. Sentiment analysis is very helpful for making important decisions like policies etc. so that there are less conflicts while rolling out any important decision or policy. Text analytics with R,sentiment analysis with R,sentiment analysis basics in R,analyzing sentiments in R,analysis sentiments,how to analyze sentiment in r,R sentiment analysis,R sentiment analysis tutorial,sentiment analysis example,learn sentiment analysis,learn sentiment analysis,sentiment analysis chart,R Programming tutorial,creating sentiment analysis in R,twitter sentiment analysis with r,sentiment analysis r code,sentiment analysis r project
Introduction to Text Analytics with R: Overview
 
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This data science tutorial introduces the viewer to the exciting world of text analytics with R programming. As exemplified by the popularity of blogging and social media, textual data is far from dead – it is increasing exponentially! Not surprisingly, knowledge of text analytics is a critical skill for data scientists if this wealth of information is to be harvested and incorporated into data products. This data science training provides introductory coverage of the following tools and techniques: - Tokenization, stemming, and n-grams - The bag-of-words and vector space models - Feature engineering for textual data (e.g. cosine similarity between documents) - Feature extraction using singular value decomposition (SVD) - Training classification models using textual data - Evaluating accuracy of the trained classification models Part 1 of this video series provides an introduction to the video series and includes specific coverage: - Overview of the spam dataset used throughout the series - Loading the data and initial data cleaning - Some initial data analysis, feature engineering, and data visualization Kaggle Dataset: https://www.kaggle.com/uciml/sms-spam-collection-dataset The data and R code used in this series is available via the public GitHub: https://github.com/datasciencedojo/tutorials/tree/master/Introduction%20to%20Text%20Analytics%20with%20R -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 3200+ employees from over 600 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Learn more about Data Science Dojo here: http://bit.ly/2rtEB7n See what our past attendees are saying here: http://bit.ly/2rtmZbK -- Like Us: https://www.facebook.com/datascienced... Follow Us: https://twitter.com/DataScienceDojo Connect with Us: https://www.linkedin.com/company/data... Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_scienc... Vimeo: https://vimeo.com/datasciencedojo
Views: 47374 Data Science Dojo
Support Vector Machine (SVM) with R - Classification and Prediction Example
 
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Includes an example with, - brief definition of what is svm? - svm classification model - svm classification plot - interpretation - tuning or hyperparameter optimization - best model selection - confusion matrix - misclassification rate Machine Learning videos: https://goo.gl/WHHqWP svm is an important machine learning tool related to analyzing big data or working in data science field. R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
Views: 27195 Bharatendra Rai
Downloading Data from Google Trends And Analyzing It With R
 
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In this video, I introduce Google Trends by querying it directly through the web, downloading a comma-delimited file of the results, and analyzing it in R. Full walkthrough and code: http://amunategui.github.io/google-trends-walkthrough/ Support these videos, check out my in-depth classes on Udemy.com (discounts and specials) at http://amunategui.github.io/udemy/
Views: 18963 Manuel Amunategui
R programming for beginners – statistic with R (t-test and linear regression) and dplyr and ggplot
 
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R programming for beginners - This video is an introduction to R programming in which I provide a tutorial on some statistical analysis (specifically using the t-test and linear regression). I also demonstrate how to use dplyr and ggplot to do data manipulation and data visualisation. Its R programming for beginners really and is filled with graphics, quantitative analysis and some explanations as to how statistics work. If you’re a statistician, into data science or perhaps someone learning bio-stats and thinking about learning to use R for quantitative analysis, then you’ll find this video useful. Importantly, R is free. If you learn R programming you’ll have it for life. This video was sponsored by the University of Edinburgh. Find out more about their programmes at http://edin.ac/2pTfis2 This channel focusses on global health and public health - so please consider subscribing if you’re someone wanting to make the world a better place – I’d love to you join this community. I have videos on epidemiology, study design, ethics and many more.
Association Rules or Market Basket Analysis with R - An Example
 
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Provides an example of steps involved in carrying out association rule analysis in R. Association rule analysis is also called market basket analysis or affinity analysis. Some examples of companies using this method include Amazon, Netflix, Ford, etc. Definitions for support, confidence and lift are also included. Also includes, - use of rules package and a priori function - reducing number of rules to manageable size by specifying parameter values - finding interesting and useful rules - finding and removing redundant rules - sorting rules by lift - visualizing rules using scatter plot, bubble plot and graphs R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
Views: 13007 Bharatendra Rai
Decision Tree Classification in R
 
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This video covers how you can can use rpart library in R to build decision trees for classification. The video provides a brief overview of decision tree and the shows a demo of using rpart to create decision tree models, visualise it and predict using the decision tree model
Views: 61314 Melvin L
Random Forest in R - Classification and Prediction Example with Definition & Steps
 
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Provides steps for applying random forest to do classification and prediction. R code file: https://goo.gl/AP3LeZ Data: https://goo.gl/C9emgB Machine Learning videos: https://goo.gl/WHHqWP Includes, - random forest model - why and when it is used - benefits & steps - number of trees, ntree - number of variables tried at each step, mtry - data partitioning - prediction and confusion matrix - accuracy and sensitivity - randomForest & caret packages - bootstrap samples and out of bag (oob) error - oob error rate - tune random forest using mtry - no. of nodes for the trees in the forest - variable importance - mean decrease accuracy & gine - variables used - partial dependence plot - extract single tree from the forest - multi-dimensional scaling plot of proximity matrix - detailed example with cardiotocographic or ctg data random forest is an important tool related to analyzing big data or working in data science field. Deep Learning: https://goo.gl/5VtSuC Image Analysis & Classification: https://goo.gl/Md3fMi R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
Views: 38809 Bharatendra Rai
R Introduction: Setup and Basic Data Analysis
 
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This video introduces the basics of doing data analytics using R, the best known statistical software. The explanation will carefully avoid tough statistical concepts and will explain many in layman's terms, much to the offense of those enforcing mathematical rigor. To simplify your life even further, we will be using the RStudio development environment which hides the complexity of R processing. The R source code for this video can be found here (some small discrepancies are possible): * http://visanalytics.org/youtube-rsrc/r-intro/Demo-A1-R-Installation-and-Basics.r Videos in data analytics and data visualization by Jacob Cybulski, visanalytics.org.
Views: 2448 ironfrown
How to Import Data, Copy Data from Excel to R: .csv & .txt Formats (R Tutorial 1.5)
 
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Learn how to import or copy data from excel (or other spreadsheets) into R using both comma-separated values and tab-delimited text file. You will learn to use "read.csv", "read.delim" and "read.table" commands along with "file.choose", "header", and "sep" arguments. This video is a tutorial for programming in R Statistical Software for beginners. You can access the dataset here: our website: http://www.statslectures.com/index.php/r-stats-videos-tutorials/getting-started-with-r/1-3-import-excel-data or here: Excel Data Used in This Video: http://bit.ly/1uyxR3O Excel Data Used in Subsequent Videos: https://bit.ly/LungCapDataxls Tab Delimited Text File Used in Subsequent Videos: https://bit.ly/LungCapData Here is a quick overview of the topics addressed in this video; click on time stamps to jump to a specific topic: 0:00:17 the two main file types for saving a data file 0:00:36 how to save a file in excel as a csv file ("comma-separated value") 0:01:10 how to open a comma-separated (.csv) data file into excel 0:01:20 how to open a comma-separated (.csv) data file into a text editor 0:01:36 how to import comma-separated (.csv) data file into R using "read.csv" command 0:01:44 how to access the help menu for different commands in R 0:02:04 how to use "file.choose" argument on "read.csv" command to specify the file location in R 0:02:31 how to use the "header" argument on "read.csv" command to let R know that data has headers or variable names 0:03:22 how to import comma-separated (.csv) data file into R using "read.table" command 0:03:38 how to use "file.choose" argument on "read.table" command to specify the file location in R 0:03:41 how to use the "header" argument on "read.table" command to let R know the data has headers or variable names 0:03:46 how to use the "sep" argument on "read.table" command to let R know how the data values are separated 0:04:10 how to save a file in excel as tab-delimited text file 0:04:50 how to open a tab-delimited (.txt) data file into a text editor 0:05:07 how to open a tab-delimited (.txt) data file into excel 0:05:20 how to import tab-delimited (.txt) data file into R using "read.delim" command 0:05:44 how to use "file.choose" argument on "read.delim" command to specify the file path in R 0:05:49 how to use the "header" argument on "read.delim" command to let R know that the data has headers or variable 0:06:06 how to import tab-delimited (.txt) data file into R using "read.table" command 0:06:20 how to use "file.choose" argument on "read.table" command to specify the file location 0:06:23 how to use the "header" argument on "read.table" command to let R know that the data has headers or variable names 0:06:27 how to use the "sep" argument on "read.table" command to let R know how the data values are separated
Views: 490178 MarinStatsLectures
Whatsapp chat sentiment analysis in R | Sudharsan
 
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Whatsapp Chat Sentiment analysis using R programming! Subscribe to my channel for new and cool tutorials. You can also reach out to me on twitter: https://twitter.com/sudharsan1396 Code for this video: https://github.com/sudharsan13296/Whatsapp-analytics
Learning Data Mining with R : Hierarchical Clustering | packtpub.com
 
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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/2lXhDAx]. This video introduces the discipline of hierarchical clustering. • Recap of classification from the previous section • Description of the algorithm • Description of the result based on a cluster hierarchy 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: 83 Packt Video
Scale R to Big Data with Hadoop & Spark
 
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Outline: · Setup a Spark cluster with R installed (R server) · Wrangle data that is inside HDFS using R · Build and deploy a machine learning model using R Code and Prep Work (if you want to follow along): https://github.com/datasciencedojo/meetup/tree/master/scaling_r_to_big_data -- R is currently one of the most popular data science languages in the world. However, it’s always had constraints around scaling out to big data. What happens when you expand beyond a couple gigabytes of data? You packed up your data and you used something else; Python, Java, or Mahout to name a few. Now it’s possible to stick with R throughout your production analysis all the way to deployment, regardless of the data size. Companies like Apache, Revolution Analytics, Microsoft, and H20 showed us this year that distributed computing in R is possible. Today we’ll take a look at what the Microsoft stack is doing in terms of scaling R up to big data. In this talk we will show you Microsoft R Server, which is a Hadoop or Spark cluster where R is installed on every computer and is equipped with distributed processing libraries to utilize each and every computer in parallel. We’ll show you how to run your normal native R code via SSH, and how to get an RStudio server up and running on the cluster. We’ll show you how to wrangle data out of an HDFS and build machine learning models from your large dataset. Then show you how to pack up that model and deploy it to an elastically scaled web service so that anyone may call upon it for predictions and insights. -- Learn more about Data Science Dojo here: http://bit.ly/2mZOfgQ See what our past attendees are saying here: http://bit.ly/2ozTJMh -- Like Us: https://www.facebook.com/datasciencedojo/ Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/data-science-dojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo/ Vimeo: https://vimeo.com/datasciencedojo
Views: 11604 Data Science Dojo
Market Basket Analysis | Association Rules | R Programming | Data Prediction Algorithm
 
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In this video I've talked about the theory related to market basket analysis. Where I explained about its background and the components like support, confidence and lift. In the next video I'll talk about the code to achieve the association rules by applying market basket analysis in R.
Get Twitter Data into R
 
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Tutorial on how to download twitter data into R. Link to code below. Brackets aren't allowed in YouTube descriptions (which means I can't include the R code in here, link to code - http://storybydata.com/get-twitter-data-into-r-tutorial/
Views: 2456 Story by Data
Simple web scraping using R and rvest library – 3 lines of code
 
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Simple demo to illustrate how you can scrape web page content in R using the rvest library.
Views: 12786 Melvin L
Social Media Analytics - Twitter Analysis in R (Example @realDonaldTrump)
 
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Case Study: Donald Trump Twitter (@realDonaldTrump) Analysis Click here to see how to link to Twitter database: https://www.youtube.com/watch?v=ebutXE4MJ3Y (UPDATED) Twitter Analytics in R codes Powerpoint can be downloaded at https://drive.google.com/open?id=0Bz9Gf6y-6XtTNDE5a2V0dXBjWVU How to process tweets with emojis in R? What if there is a gsub utf-8 invalid error? (Example Solution) 1. Use gsub to replace the emojis (utf-8 coding) codes. 2. See slide 7 in the Powerpoint file above.
Views: 3645 The Data Science Show
Text Analytics with R | How to Visualize Twitter Followers using twitterMap | Twitter Data Mining
 
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In this text analytics with R video I have talked about an innovative twitterMap function for visualizing followers data in R. This R function helps identifying from which specific regions the followers are coming and where you have maximum strength. twitterMap function,text analytics with R,how to visualize twitter followers in R,using twitter map function to visualize followers data,data visualization in R,example of twitter mining in r,r twitter,twitter r,twitter data in r,twitter followers data in r,visualizing twitter data in r,twitter data visualization in r,twitter followers data,connect twitter with r,TwitterR packae,twitter data mining in R,R data mining,r data mining case studies,twitter case Source the twitterMap function - http://biostat.jhsph.edu/~jleek/code/twitterMap.R
Advanced Data Mining projects with R : Introduction to Neural Networks | packtpub.com
 
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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/2n53Vi6]. Before working on neural networks, we need to understand the theory behind neural networks. • Understand the logic behind neural networks • Understand different types of neural networks 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: 65 Packt Video
Advanced Data Mining projects with R : The Course Overview | packtpub.com
 
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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/2n53Vi6]. This video provides an overview of the entire 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: 234 Packt Video
R Data Mining Projects : Introduction to Market Basket Analysis | packtpub.com
 
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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/2lVMHEP]. Market Basket Analysis is the study of relationships between various products and products that are purchased together or in a series of transactions. • Apply market basket analysis or association rules, to understand the relationship between various variables in large database 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: 106 Packt Video
What is machine learning and how to learn it ?
 
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http://www.LearnCodeOnline.in Machine learning is just to give trained data to a program and get better result for complex problems. It is very close to data mining. While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development. Here are a few widely publicized examples of machine learning applications you may be familiar with: The heavily hyped, self-driving Google car? The essence of machine learning. Online recommendation offers such as those from Amazon and Netflix? Machine learning applications for everyday life. Knowing what customers are saying about you on Twitter? Machine learning combined with linguistic rule creation. Fraud detection? One of the more obvious, important uses in our world today. fb: https://www.facebook.com/HiteshChoudharyPage homepage: http://www.hiteshChoudhary.com
Views: 547559 Hitesh Choudhary
R - Twitter Mining with R (part 1)
 
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Twitter Mining with R part 1 takes you through setting up a connection with Twitter. This requires a couple packages you will need to install, and creating a Twitter application, which needs to be authorized in R before you can access tweets. We quickly go through this entire process which may take some flexibility on your part so be patient and be ready troubleshoot as details change with updates. Warning: You are going to face challenges setting up the twitter API connection. The steps for this part have been known to change slightly over time for a variety of reasons. Follow the general steps and expect a few errors along the way which you will have to troubleshoot. It is hard to solve these issues remotely from where I am.
Views: 60529 Jalayer Academy
R Data Mining Projects : Introduction to Data Visualization | packtpub.com
 
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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/2lVMHEP]. This video will walk you through the basics of data visualization along with how to create advanced data visualization using existing libraries in R programming language. • Use ggplot() • Change colors, themes and size of a graph 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: 86 Packt Video