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
交流群：484266833
Machine learning specialization课程共分为三部分
- 第一部分：Supervised Machine Learning:Regression and Classification
- 第二部分：Advanced Learning Algorithms
- 第三部分：Unsupervised Learning:Recommenders, Reinforcement Learning
目前上传的是第二部分,course1的sildes(ppt)已更新完毕
Machine Learning Specialization by Andrew Ng in 2022
Course website:https://www.coursera.org/specializations/machine-learning-introduction
bilibili:https://www.bilibili.com/video/BV19B4y1W76i
github:https://github.com/kaieye/2022-Machine-Learning-Specialization
Course code and test content have been updated
welcome to pull request, whether it is to supplement learning files or markdown notes
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 course1 have been updated
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
mac/linux用户需将pip切换成pip3