• This repo contains a curated list of R tutorials and packages for Data Science, NLP and Machine Learning. This also serves as a reference guide for several common data analysis tasks.

• Curated list of Python tutorials for Data Science, NLP and Machine Learning.

• Comprehensive topic-wise list of Machine Learning and Deep Learning tutorials, codes, articles and other resources.

##General Stuff

• awesome-R
• R Reference Card
• R bloggers
• R vs Python
• R Resources GitHub
• Awesome R resources
• Data Mining with R
• Rob J Hyndman's R Blog
• Simple R Tricks and Tools (Video)
• RStudio GitHub Repo
• Tidying Messy Data in R Video
• Baseball Research with R
• 600 websites about R
• Implementation of 17 classification algorithms in R
• Cohort Analysis and LifeCycle Grids mixed segmentation with R
• Using R and Tableau
• COMPREHENSIVE VIEW ON CRAN PACKAGES
• Using R for Statistical Tables and Plotting Distributions
• Extended Model Formulas in R: Multiple Parts and Multiple Responses

##QUESTIONS

• In R, why is bracket better than subset?
• Subsetting Data
• Quickly reading very large tables as dataframes in R
• Using R to show data
• How can I view the source code for a function?

##Learning R

• Data Analysis and Visualization Using R
• MANY R PROGRAMMING TUTORIALS
• A Handbook of Statistical Analyses Using R, Find Other Chapters
• **Cookbook for R **

##Caret Package

• rf
• Ensembling Models with caret
• Model Training and Tuning
• Caret Model List
• relationship-between-data-splitting-and-traincontrol
• Specify model generation parameters
• Tutorial, Paper
• Ensembling models with R, Ensembling Regression Models in R

##Cheatsheets

• Data Wrangling
• ggplot2
• Shiny
• devtools
• markdown, reference
• Data Exploration

##Reference Slides

• Awesome R Reference Card
• Association Rule Mining
• Time Series Analysis
• Data Exploration and Visualisation
• Regression and Classification
• Text Mining on Twitter Data

##Neural Networks in R

• Visualizing Neural Nets in R
• nnet package

##Using R for Multivariate Analysis

• Little Book of R for Multivariate Analysis!
• THE FREQPARCOORD PACKAGE FOR MULTIVARIATE VISUALIZATION
• Use of freqparcoord for Regression Diagnostics

##Time Series Analysis

• Time Series Forecasting (Online Book)
• A Little Book of Time Series Analysis in R
• Quick R: Time Series and Forecasting
• Components of Time Series Data
• Unobserved Component Models using R
• The Holt-Winters Forecasting Method
• CRAN Task View: Time Series Analysis

##Bayesian Inference

• Packages for Bayesian Inference

##Machine Learning

• Using R for Multivariate Analysis (Online Book)
• CRAN Task View: Machine Learning & Statistical Learning
• Machine Learning Using R (Online Book)
• Linear Regression and Regularization Code
• Cheatsheet
• Multinomial and Ordinal Logistic Regression in R

##Sentiment Analysis

• Different Approaches

• Sentiment analysis with machine learning in R

• First shot: Sentiment Analysis in R

• qdap package, code

• sentimentr package

• tm.plugin.sentiment package

• Packages other than sentiment

• Sentiment Analysis and Opinion Mining

• tm_term_score

• vaderSentiment Paper, vaderSentiment code

##Imputation

• Imputation in R
• Imputation with Random Forests
• How to Identify and Impute Multiple Missing Values using R
• MICE
  • error in implementation of random forest in mice r package
  • mice.impute.rf {mice}

##NLP and Text Mining

• What algorithm I need to find n-grams?
• NLP R Tutorial
• Introduction to the tm Package Text Mining in R
• Adding stopwords in R tm
• Text Mining
• Word Stemming in R
• Classification of Documents using Text Mining Package “tm”
• Text mining tools techniques and applications
• Text Mining: Overview,Applications and Issues
• Text Mining pdf
• Text Mining Another pdf
• Good PPT
• Scraping Twitter and Web Data Using R

##Visualisation

• ggplot2 tutorial
• SHINY EXAMPLES

##Statistics

• Using R for Biomedical Statistics (Online Book)

##Useful R Packages

• TIDY DATA HADLEY PAPER
  • Package ‘tidyr’: tidyr is an evolution of reshape2. It's design specifically for data tidying (not general reshaping or aggregating) and works well with dplyr data pipelines.
• BROOM
• plyr, stringr, reshape2 tutorial Video, CODE
• dplyr
  • Code Files in this Repo
  • dplyr tutorial 1, dplyr tutorial 2
  • Do your "data janitor work" like a boss with dplyr
• ggplot2
  • ggplot2 tutorial
  • A quick introduction to ggplot()
  • R Graphics cookbook
  • ggplot2 Version of Figures in “Lattice: Multivariate Data Visualization with R”
• A speed test comparison of plyr, data.table, and dplyr
• data.table
  • Introduction to the data.table package in R
  • Fast summary statistics in R with data.table
• Other Packages
  • Package 'e1071'
  • Package ‘AppliedPredictiveModeling’
  • Package ‘stringr’: stringr is a set of simple wrappers that make R's string functions more consistent, simpler and easier to use.
  • Package ‘stringdist’: Implements an approximate string matching version of R's native 'match' function. Can calculate various string distances based on edits (damerau-levenshtein, hamming, levenshtein, optimal sting alignment), qgrams or heuristic metrics
  • Package ‘FSelector’: This package provides functions for selecting attributes from a given dataset
  • Ryacas – an R interface to the yacas computer algebra system
  • Scatterplot3d – an R package for Visualizing Multivariate Data
  • tm.plugin.webmining intro
  • Solving Differential Equations in R - ODE examples
  • Structural Equation Modeling With the sem Package in R
  • prettyScree - prettyGraphs

##Code Snippets

• Convert List to Data Frame

##Market Basket

• Market Basket Analysis with R
• Step by Step