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)
Avik-jain/100-days-of-ML
1 原文----MachineLearning100/100-Days-Of-ML-Code
2 翻译汉化项目----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
Day1---Data preprocessing
1.code
Day2---Simple linear regression
2.code
Day3---Multiple linear regression
3.code
Day4+Day5+Day6---Logistic regression
4.code
Day7-8-9-10---KNN
5.code
Day 11-12-13-14---SVM
6.code
7. Day 15-16-17 --- Data Visualization
Data Visualization by Pandas(matplotlib)
1.Data Visualization by Seaborn
2.Time series data Visualization
3.8. Day 18-19-20 --- Linear Algebra
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笔记内容为 3blue1brown 线性代数系列视频课程学习记录。
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文档没有添加目录,因为内容不多,建议按照顺序阅读,便于理解。
8. Day 21-22-23 --- Probability and Mathematical Statistics
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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。
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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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