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2022吴恩达老师,机器学习,实验&笔记&练习

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2022-Machine-Learning-Specialization

吴恩达2022新版机器学习 machine learning specialization
课程官网:https://www.coursera.org/specializations/machine-learning-introduction
bilibili:https://www.bilibili.com/video/BV19B4y1W76i
github:https://github.com/kaieye/2022-Machine-Learning-Specialization
课程代码及测验内容已更新完毕
欢迎pull request,无论是补充学习文件还是优化md笔记

Course Outline

Machine learning specialization is divided into 3 parts

  • Part 1:Supervised Machine Learning: Regression and Classification
  • Part 2:Advanced Learning Algorithms
  • Part 3:Unsupervised Learning: Recommenders, Reinforcement Learning

The second part is currently Uploaded
the slides of course 1 have been updated

环境配置

按照操作系统类型安装python(官方使用的环境为3.7.6),安装方式各异。安装成功后在cmd/bash中定位到该文件夹,并使用如下命令安装依赖。

pip install -r requirements.txt

如果使用的是conda环境
 conda install --yes --file requirements.txt
(建议使用conda环境安装,否则会安装很多不必要的库)

mac/linux用户需将pip切换成pip3

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