Python-基于scikitlearn练习斯坦福机器学习课程.zip
(预估有个47文件)
machine-learning-notebooks-master
.gitignore
37B
README.md
3KB
func
ml-ex6
porterStemmer.m
10KB
processEmail.m
2KB
ml-ex7.ipynb
901KB
ml-ex4.ipynb
64KB
ml-ex2.ipynb
75KB
requirements.txt
969B
ml-ex3.ipynb
40KB
ml-ex6.ipynb
249KB
ml-ex5.ipynb
195KB
ml-ex8.ipynb
217KB
data
ml-ex7
bird_small.png
32KB
ex7data1.mat
995B
ex7.pdf
731KB
ex7data2.mat
5KB
ex7faces.mat
10.52MB
ml-ex2
ex2data1.txt
4KB
ex2.pdf
418KB
ex2data2.txt
2KB
ml-ex3
ex3.pdf
323KB
ex3weights.mat
78KB
ex3data1.mat
7.16MB
ml-ex4
ex4.pdf
383KB
ex4data1.mat
7.16MB
ml-ex8
ex8_movies.mat
218KB
ex8.pdf
263KB
ex8data2.mat
91KB
movie_ids.txt
47KB
ex8data1.mat
9KB
ml-ex6
emailSample1.txt
393B
ex6.pdf
351KB
ex6data1.mat
981B
emailSample2.txt
1KB
spamTest.mat
110KB
spamTrain.mat
419KB
vocab.txt
20KB
spamSample1.txt
655B
ex6data2.mat
7KB
spamSample2.txt
245B
ex6data3.mat
6KB
ml-ex1
ex1data1.txt
1KB
ex1data2.txt
657B
ex1.pdf
1.09MB
ml-ex5
ex5data1.mat
1KB
ex5.pdf
182KB
ml-ex1.ipynb
151KB
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