吴恩达机器学习2022配套课件以及代码

# 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 交流群：484266833 ## 课程大纲 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 ## 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 course1 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。 ```text pip install -r requirements.txt ``` mac/linux用户需将pip切换成pip3