ShortForm

A complete daily plan for studying to become a machine learning engineer.

? Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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.

List of Data Science Cheatsheets to rule the world

The "Python Machine Learning (1st edition)" book code repository and info resource

手写实现李航《统计学习方法》书中全部算法

Minimal and clean examples of machine learning algorithms implementations

Build, Manage and Deploy AI/ML Systems

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.

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.