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Name: wade chen
Type: User
Bio: everything for python~
wade chen's Projects
100-days-of-ml-code
100-Days-Of-ML-Code中文版
60_days_rl_challenge
60_Days_RL_Challenge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
ailearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
awesome-deep-learning-and-machine-learning-questions
【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题
coursera-ml-andrewng-notes
吴恩达老师的机器学习课程个人笔记
data-science-notes
数据科学的笔记以及资料搜集
dataminingalgorithm
数据挖掘18大算法实现以及其他相关经典DM算法
deeplearning
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
deeplearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
fucking-algorithm
手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
github-slideshow
A robot powered training repository :robot:
googlepythonstyleguidecn
Google Python Style Guide CN 谷歌Python代码风格指南中文翻译
homemade-machine-learning-cn
自制机器学习
interpretablemlbook
《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版
interview_python
关于Python的面试题
learn-data-science-for-free
This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.
learning-from-data
记录Learning from data一书中的习题解答
learnpython
以撸代码的形式学习Python
lihang-code
《统计学习方法》的代码实现
machine-learning
机器学习原理
machine-learning-book
涉及机器学习中深度学习、强化学习、监督学习、集成学习相关的pdf书籍及其个人的阅读笔记
machine-learning-book-1
《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
ml-dl_book
机器学习、深度学习一些个人认为不错的书籍。
nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
onjava8
《On Java 8》中文版，又名《Java编程**》 第5版
pumpkin-book
《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
pydata-notebook
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
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