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genmax

Genmax algorithm for mining maximal frequent itemsets

github-cheat-sheet

A list of cool features of Git and GitHub.

group-lasso

Group Lasso implementation following the scikit-learn API

gsp-and-prefixspan-comparison

gsp-py

GSP (Generalized Sequence Pattern) algorithm in Python

gspan

Implementation of the depth-first gSpan algorithm for frequent graph mining in graphs data set. Finds possible frequent and canonical extensions of a given graph from a given set of graphs.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hierarchical-clustering

Hierarchical Clustering Python Implementation

imooc-django

高仿慕课网：py3.5 + Django1.10 + xadmin 搭建的在线课程教育平台

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

jarvispatrick-

Jarvis-Patrick Clustering that uses a nearest neighbor approach to clustering objects

k-means

K Means

lasso

This is implementation of Coordinate Descent for Lasso.

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

logisticregression

Logistic regression from scratch in Python

logitboost

LogitBoost classification algorithm built on top of scikit-learn

lssvm_python_code

lssvr

Least Squares Support Vector Regression

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

machinelearning

学习机器学习的路上...

machinelearningnumericaloptimization

Constrained & Unconstrained Optimizers with Machine Learning models

market-basket-optimization

Applying associative rule learning on market basket optimization by applying Apriori algorithm.

mbpls

(Multiblock) Partial Least Squares Regression for Python

mlc_toolbox

A MATLAB/OCTAVE library for Multi-Label Classification

mmdetection-annotated

mmdetection源码注释

modelselection

A valuable data science tool. Easily train and compare 6 different ML algorithms: K-Nearest Neighbour, Random Forest, RBF SVM, Simple Neural Network, Deep Neural Network, Recurrent Neural Network

modelselection-1

Bayesian model selection for linear regression

modelselection_dynamicpricing

multilabelclassifier

Multi-label Classification using PyTorch on the CelebA dataset.