Alternatives and similar repositories for R-programming-books-for-data-science

Users that are interested in R-programming-books-for-data-science are comparing it to the libraries listed below

• anishsingh20 / Statistical-Learning-using-R
  This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done b…
  ☆31Updated 7 years ago
• tirthajyoti / R-stats-machine-learning
  Misc Statistics and Machine Learning codes in R
  ☆43Updated 4 years ago
• mdancho84 / datasciencecoursera
  This repo contains the files related to the Coursera Data Science Specialization
  ☆31Updated 8 years ago
• willsmorgan / Introduction-to-Statistical-Learning-Labs
  Documenting ISLR's Labs - Educational Purposes Only
  ☆17Updated 7 years ago
• rstudio-conf-2020 / applied-ml
  Code and Resources for "Applied Machine Learning"
  ☆163Updated 4 years ago
• mdancho84 / quantitative_stock_analysis_tutorial
  The stock analysis R file for computing stock returns and correlations for the S&P500 stock listing.
  ☆42Updated 8 years ago
• rghan / ISLR
  An Introduction to Statistical Learning with Applications in R
  ☆59Updated 10 years ago
• collinprather / ISLR-Python
  Labs and Exercises from "An Introduction to Statistical Learning", implemented in Python.
  ☆30Updated 6 years ago
• topepo / AppliedPredictiveModeling
  Data and code from Applied Predictive Modeling (2013)
  ☆35Updated last year
• datasciencedojo / tutorials
  Data Science Dojo Tutorials
  ☆85Updated 6 years ago
• business-science / presentations
  A central repository of Business Science presentations
  ☆168Updated 5 years ago
• rdpeng / exdata
  Exploratory Data Analysis with R
  ☆68Updated last year
• ayhandis / creditR
  A Credit Risk Scoring Modeling and Validation Package
  ☆67Updated 6 years ago
• r-spark / the-r-in-spark
  Mastering Apache Spark with R
  ☆131Updated 2 years ago
• PacktPublishing / Web-Application-Development-with-R-Using-Shiny-third-edition
  Web Application Development with R Using Shiny - Third Edition, published by Packt
  ☆29Updated 2 years ago
• RamiKrispin / 30DayChartChallenge
  Code for 30DayChartChallenge
  ☆35Updated 4 years ago
• Phippsy / R-Marketing-Analytics
  A collection of functions and step-by-step examples for marketing analytics
  ☆33Updated 9 years ago
• uc-r / uc-r.github.io
  Main repository for R programming courses @ University of Cincinnati, courses and tutorials that focus on data wrangling, exploration, vi…
  ☆86Updated 5 years ago
• parulnith / A-guide-to-Machine-Learning-in-R
  A series of articles to get started into the field of Machine Learning with R language
  ☆25Updated 6 years ago
• topepo / rstudio-conf-2019
  Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2019
  ☆149Updated 6 years ago
• eleafeit / ad_response_tutorial
  This tutorial shows users how to evaluate advertising response using last click attribution, experiments, marketing mix models and attrib…
  ☆28Updated 7 years ago
• suzanbaert / Dplyr_Tutorials
  Repository for dplyr tutorials I made
  ☆24Updated 6 years ago
• rjshanahan / Time-Series-Forecasting-with-Shiny
  Shiny-based interactive time series forecasting
  ☆19Updated 8 years ago
• nicolasfguillaume / Marketing-Analytics-with-R
  Foundations of Marketing Analytics - ESSEC Business school via Coursera.org. Customer segmentation and clustering
  ☆13Updated 9 years ago
• cran / AppliedPredictiveModeling
   This is a read-only mirror of the CRAN R package repository. AppliedPredictiveModeling — Functions and Data Sets for 'Applied Predictiv…
  ☆62Updated 2 years ago
• ymattu / MlBayesOpt
  R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…
  ☆47Updated 5 years ago
• daroczig / Mastering-Data-Analysis-with-R
  R code examples for my book
  ☆34Updated 9 years ago
• eafpres / time_series_analysis
  Review of time series using regression and neural network methods
  ☆33Updated 6 years ago
• datacamp / courses-introduction-to-r
  Introduction to R by Jonathan Cornelissen
  ☆138Updated this week
• rtheman / CLV
  Calculating Customer Lifetime Value (CLV) with Recency, Frequency, and Monetary (RFM)
  ☆50Updated 4 years ago