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LiuChuang0059 / 100days Ml Code

100天机器学习 (翻译+ 实操)

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100days-ML-code(翻译+ 实操)

1 原文----Avik-jain/100-days-of-ML

2 翻译汉化项目----MachineLearning100/100-Days-Of-ML-Code

ps:个人认为:谷歌翻译水平,无详细注释讲解,仅仅适合参考或者快食。

  • Tip🌟 :如果下面 ipynb 文件打开速度过慢或者打不开,可以将文件链接复制到 https://nbviewer.jupyter.org/ 进行打开

1. Day1---Data preprocessing

code


2. Day2---Simple linear regression

code


3. Day3---Multiple linear regression

code


4. Day4+Day5+Day6---Logistic regression

code


5. Day7-8-9-10---KNN

code


6. Day 11-12-13-14---SVM

code


7. Day 15-16-17 --- Data Visualization

1. Data Visualization by Pandas(matplotlib)

2. Data Visualization by Seaborn

3. Time series data Visualization


8. Day 18-19-20 --- Linear Algebra


8. Day 21-22-23 --- Probability and Mathematical Statistics

  • 概率论基础知识快速学习回顾

  • 本篇笔记主要是概率论相关知识学习,数理统计相关在下一篇。

  • 主要参考:

    《概率论与数理统计》齐民友, 武汉大学

    《Probability and Statistics》Morris H. DeGroot , Carnegie Mellon University

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