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--tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

100-days-of-ml-code

100-Days-Of-ML-Code中文版

abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

anomaly-detection

Unsupervised / Semisupervised Anomaly Detection

awesome-python-sources

include awesome python sources

bar_chart_race

Create animated bar chart races in Python with matplotlib

books

【编程随想】收藏的电子书清单（多个学科，含下载链接）

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

data-mining-python

《python数据分析与挖掘实战》项目实践及拓展

dlaicourse

Notebooks for learning deep learning

esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

gbdt_simple_tutorial

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision

kaggledays-2019-gbdt

Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

leetcode

:pencil2: LeetCode solutions in C++ 11

lifelines

Survival analysis in Python

lihang-code

《统计学习方法》的代码实现

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

machine-learning

Python, data analysis, machine learning...

machine-learning-session

machine-learning-yearning-cn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

machinelearning

Machine Learning in Action (机器学习实战)

magic-python

带你玩不一样的 Python

ml-road

Machine Learning Resources, Practice and Research

ppd_riskcontrolcompetition

3rd Place Solution for PPD Risk Control Competition

practical-python

Practical Python Programming (course by @dabeaz)

py12306

🚂 12306 购票助手，支持集群，多账号，多任务购票以及 Web 页面管理

python-data-science-essentials-third-edition

Python Data Science Essentials - Third Edition, Published by Packt

python-for-social-scientists

Python for Social Scientists

python-knowledge-handbook

Python Knowledge Handbook by Python数据之道， website： http://liyangbit.com/