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对机器学习个人笔记完整版v5.52.docx进行批注 #114

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对机器学习个人笔记完整版v5.52.docx进行批注 #114

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4985d0f
update word版中第一周内容
surpoloyang May 17, 2024
7dcf546
update 第二周内容
surpoloyang May 18, 2024
aaf13af
对第二周内容做标注，添加非奇异矩阵定义的批注
surpoloyang May 18, 2024
32c1e57
完成作业一代码的学习
surpoloyang May 18, 2024
43efd12
初次看代码未改动
surpoloyang May 18, 2024
9bac6ee
学完Logistics回归部分
surpoloyang May 19, 2024
b0bdb57
完成作业2全部的学习
surpoloyang May 19, 2024
f710cd4
更新第三周学习笔记
surpoloyang May 19, 2024
1f8cbba
update 第十章内容
surpoloyang May 20, 2024
338adbe
完成一元线性回归部分学习
surpoloyang May 20, 2024
74a5514
完成第六周的学习内容
surpoloyang May 20, 2024
0312b27
完成作业5的学习，
surpoloyang May 21, 2024
2d884b1
完成作业6的学习
surpoloyang May 21, 2024
016b0ff
完成K-means的学习
surpoloyang May 21, 2024
a6fb1b7
test
surpoloyang May 21, 2024
64010dc
完成vscode远程操作github repo并与本地同步的test
surpoloyang May 21, 2024
f502442
完成第七第八周的学习内容
surpoloyang May 21, 2024
ee80db5
k-means添加目标函数和选择聚类数内容
surpoloyang May 22, 2024
a9b63a3
完成第十四章PCA的学习
surpoloyang May 22, 2024
f13756c
完成作业7的PCA部分学习
surpoloyang May 22, 2024
d635bea
添加批注：什么是奇异值分解
surpoloyang May 22, 2024
2c93eaf
完成第十五章异常检测的学习
surpoloyang Jun 8, 2024
c8dbcfc
添加自己动手写的异常检测代码
surpoloyang Jun 8, 2024
e17de91
完成自己动手写的异常检测代码
surpoloyang Jun 8, 2024
50b8533
Merge branch 'ch15_codebyself'
surpoloyang Jun 8, 2024
d7e3e05
update
surpoloyang Jun 8, 2024
9c7202f
完成Ch16推荐系统的学习
surpoloyang Jun 8, 2024
1319f11
Merge branch 'ch16'
surpoloyang Jun 8, 2024
8ac16e3
完成批注的解答
surpoloyang Jun 9, 2024
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349 changes: 245 additions & 104 deletions code/ex1-linear regression/ML-Exercise1.ipynb
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478 changes: 357 additions & 121 deletions code/ex2-logistic regression/ML-Exercise2.ipynb
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330 changes: 195 additions & 135 deletions code/ex5-bias vs variance/ML-Exercise5.ipynb
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393 changes: 274 additions & 119 deletions code/ex6-SVM/ML-Exercise6.ipynb
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830 changes: 600 additions & 230 deletions code/ex7-kmeans and PCA/ML-Exercise7.ipynb
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808 changes: 808 additions & 0 deletions code/ex8-anomaly detection and recommendation/AnomalyDetectionbyself.ipynb
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389 changes: 239 additions & 150 deletions code/ex8-anomaly detection and recommendation/ML-Exercise8.ipynb
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