An Introduction to Statistical Learning with Applications in PYTHON

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

斯坦福大学2014（吴恩达）机器学习教程个人笔记，主要是 Python 代码实现

Make your own running home page

Python - 100天从新手到大师

Python语言基础50课

吴恩达老师的机器学习课程个人笔记

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

Supplementary Materials for ``Quantitative Social Science: An Introduction''

《统计学习方法》的代码实现

Notes and exercise attempts for "An Introduction to Statistical Learning"

Jupyter metapackage for installation, docs and chat

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

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

For the book Learn Data Mining through Excel

Text and supporting code for Think Stats, 2nd Edition

Code for the Make Your Own Neural Network book

Course Files for Complete Python 3 Bootcamp Course on Udemy

Introduction to Python for Pattern Recognition Tutorial 2019-2020 (Imperial College London)

Reading list for research topics in multimodal machine learning

Papers, code and datasets about deep learning and multi-modal learning for video analysis

Learning Chinese Character style with conditional GAN

Chinese character stroke order animations and practice quizzes

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

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！