ml-notes-master
.idea
.gitignore
218B
misc.xml
185B
vcs.xml
180B
other.xml
233B
inspectionProfiles
profiles_settings.xml
174B
ml-notes.iml
407B
modules.xml
268B
.gitattributes
66B
ng-ml2014
code
05-bias vs variance
.ipynb_checkpoints
bias vs variance-checkpoint.ipynb
31KB
ML-Exercise5-checkpoint.ipynb
156KB
ML-Exercise5.ipynb
156KB
ex5data1.mat
1KB
bias vs variance.ipynb
31KB
ex5.pdf
183KB
01-linear regression
.ipynb_checkpoints
linearregression-checkpoint.ipynb
179KB
ex1data2.txt
657B
ex1data1.txt
1KB
linearregression.ipynb
179KB
reference
ML-Exercise2.ipynb
98KB
3- neural network.ipynb
90KB
ML-Exercise1.ipynb
139KB
4- back propagation.ipynb
195KB
02-logistic regression
.ipynb_checkpoints
logisticregression-checkpoint.ipynb
156KB
logisticregression.ipynb
156KB
ex2data1.txt
4KB
ex2data2.txt
2KB
03-multi-class classification
ex3weights.mat
78KB
.ipynb_checkpoints
多分类-逻辑回归-checkpoint.ipynb
176KB
ML-Exercise3-checkpoint.ipynb
16KB
多分类-神经网络前向传播-checkpoint.ipynb
7KB
1- neural network-checkpoint.ipynb
90KB
ex3.pdf
287KB
多分类-神经网络前向传播.ipynb
7KB
ex3data1.mat
7.16MB
多分类-逻辑回归.ipynb
176KB
00-numpy&pandas
np01.py
886B
pd02.py
2KB
pd07.py
677B
pd12.py
584B
np04.py
541B
np02.py
824B
pd04.py
726B
np03.py
573B
pd06.py
1KB
pd11.py
497B
pd09.py
488B
np05.py
1013B
pd01.py
1KB
pd05.py
207B
pd03.py
645B
student.pickle
986B
readme.md
139B
np07.py
399B
np06.py
489B
pd08.py
2KB
student.csv
137B
pd10.py
548B
04-back propagation
.ipynb_checkpoints
backpropagation-checkpoint.ipynb
66KB
1- NN back propagation-checkpoint.ipynb
195KB
ex4weights.mat
78KB
backpropagation.ipynb
66KB
ex4.pdf
348KB
ex4data1.mat
7.16MB
notes
ml2014-exercise.md
3KB
ml2014.md
51KB
readme.md
919B
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