机器学习

[TOC] ## FoolNLTK:中文处理工具包 Github：[FoolNLTK](https://github.com/rockyzhengwu/FoolNLTK) >* 可能不是最快的开源中文分词，但很可能是最准的开源中文分词 >* 基于BiLSTM模型训练而成 >* 包含分词，词性标注，实体识别,　都有比较高的准确率 >* 用户自定义词典 ## 100-Days-Of-ML-Code * 中文版：[https://github.com/MachineLearning100/100-Days-Of-ML-Code](https://github.com/MachineLearning100/100-Days-Of-ML-Code) * 中文版：[https://github.com/Avik-Jain/100-Days-of-ML-Code-Chinese-Version](https://github.com/Avik-Jain/100-Days-of-ML-Code-Chinese-Version) * 英文版：[https://github.com/Avik-Jain/100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) * 视频：[https://github.com/llSourcell/100_Days_of_ML_Code](https://github.com/llSourcell/100_Days_of_ML_Code) * 数据：[https://github.com/Avik-Jain/100-Days-Of-ML-Code/tree/master/datasets](https://github.com/Avik-Jain/100-Days-Of-ML-Code/tree/master/datasets) * 代码：[https://github.com/Avik-Jain/100-Days-Of-ML-Code/blob/master/Code/Day%201_Data%20PreProcessing.md](https://github.com/Avik-Jain/100-Days-Of-ML-Code/blob/master/Code/Day%201_Data%20PreProcessing.md) ## 机器学习教程 * [machine-learning-course](https://github.com/machinelearningmindset/machine-learning-course)：Machine Learning Course with Python * **[machine-learning-yearning-cn](https://github.com/deeplearning-ai/machine-learning-yearning-cn)**：吴恩达机器学习书籍（下载地址：https://github.com/deeplearning-ai/machine-learning-yearning-cn/releases/download/v0.5.0/MLY-zh-cn.pdf）