mltools is a set of machine learning toolkits extracted from actual projects. Its main goal is to speed up data exploration, data extraction, data cleaning conversion, and model training, allowing machine learning engineers to focus on data analysis and model selection and evaluation.

温州大学《机器学习》课程资料（代码、课件等）

UnsupervisedSpectralClustering and FeatureSelection. Handle the orginal data and feature select by LS and SPEC, meanwhile, generate the cluster heatmap, feature score heatmap and cluster plot and so on.

UFS is an unsupervised feature selection algorithm.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"

Pandas integration with sklearn

使用sklearn做特征工程

open-source feature selection repository in python

Companion notebook for Real Python's Data Cleaning Tutorial

Python 3.x notebooks about real-world data cleaning and visualization

Clean APIs for data cleaning. Python implementation of R package Janitor

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Recipes for using Python's pandas library

Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.

Network Analysis in Python

Companion webpage to the book "Mathematics For Machine Learning"

A best-practices first project template that allows you to get started on a new machine learning project.

机器学习项目备忘录

A practical tool for Maximal Information Coefficient (MIC) analysis

机器学习初学者公众号作品

A booklet on machine learning systems design with exercises

Python Machine Learning Snippets contains various machine learning examples as Jupyter notebooks with scikit-learn, statsmodel, numpy and other libraries.

机器学习、深度学习原理及实践

Repository containing Jupyter Notebooks for most of the blog posts on my blog. For example, there are data visualization, data manipulation, and data analysis code examples in the Notebooks

Unsupervised Feature Selection of Joint Embedding Sparse Regression Analysis

iLearnPlus is the first machine-learning platform with both graphical- and web-based user interface that enables the construction of automated machine-learning pipelines for computational analysis and predictions using nucleic acid and protein sequences.

Hyper-parameter optimization for sklearn

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.

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

Feature Selection for Clustering

Feature engineering package with sklearn like functionality

An open source python library for automated feature engineering

Feature selector is a tool for dimensionality reduction of machine learning datasets

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

A Python module to perform exploratory factor analysis.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Source code for my collection of articles on using pandas.

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

Created the contents of this repo originally for a workshop I gave at UCLA

DataPrep — The easiest way to prepare data in Python

数据科学的笔记以及资料搜集

Data Cleaning In Python and Julia with Practical Examples

Data Cleaning Libraries with Python

Data Science Using Python

吴恩达老师的机器学习课程个人笔记

This is the playbook for "code-with" customer or partner engagements

A library of sklearn compatible categorical variable encoders

100-Days-Of-ML-Code中文版