Apache Spark - A unified analytics engine for large-scale data processing

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

R for data science: a book

List of Data Science Cheatsheets to rule the world

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

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mal - Make a Lisp

dplyr: A grammar of data manipulation

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

An implementation of the Grammar of Graphics in R

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

httr: a friendly http package for R

Easy interactive web applications with R

Advanced R: a book

A curated list of awesome R packages, frameworks and software.

Compilation of R and Python programming codes on the Data Professor YouTube channel.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

A repository for HacktoberFest 2018.

Tutorials and training material for the H2O Machine Learning Platform