⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

A collection of research papers on decision, classification and regression trees with implementations.

A curated list of gradient boosting research papers with implementations.

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

经典机器学习算法的极简实现

Algorithmic trading using machine learning.

PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.

A repository for recording the machine learning code

Essential NLP & ML, short & fast pure Python code

Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn

implement the machine learning algorithms by python for studying

A python implementation of the CART algorithm for decision trees

• Proposed system enhances user experience by providing a recommendation in travel domain more specifically for food, hotel and travel places to provide user with various sets of options like time based, nearby places, rating based, user personalized suggestions, etc.M RECOMMENDATION METHODS : • Near-by Recommendation Algorithm - KNN Algorithm •…

Forecasting weather Using Multinomial Logistic Regression, Decision Tree, Naïve Bayes Multinomial, and Support Vector Machine

Simple implementation of CART algorithm to train decision trees

Python implementation of Decision trees using ID3 algorithm

Programmable Decision Tree Framework

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

A C4.5 tree classifier based on a zhangchiyu10/pyC45 repository, refactored to be compatible with the scikit-learn library.