bonsai-dt

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

A python library to build Model Trees with Linear Models at the leaves.

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

Machine Learning for High Energy Physics.

A lightweight decision making library for game AI.

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).

Building Decision Trees From Scratch In Python

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.