MLsentdex

Machine Learning tutorial practice Algorithms implemented are in two ways: 1.Using Machine learning libraries. 2.Without using any machine learning libraries.

Name		Name	Last commit message	Last commit date
.idea		.idea
DNN.py		DNN.py
Handle_non_numerical_data.py		Handle_non_numerical_data.py
K-Means.py		K-Means.py
K_means.py		K_means.py
NN(own data).py		NN(own data).py
NNmodel.py		NNmodel.py
README.md		README.md
SVM implementation.py		SVM implementation.py
breast-cancer-wisconsin.data.txt		breast-cancer-wisconsin.data.txt
classification.py		classification.py
linearregression.pickle		linearregression.pickle
meanshift from scratch.py		meanshift from scratch.py
meanshift.py		meanshift.py
neg.txt		neg.txt
pos.txt		pos.txt
regression.py		regression.py
titanic.xls		titanic.xls

Navigation Menu

Repository files navigation

MLsentdex

About

Releases

Packages

Contributors

Languages

Latest commit

History

Folders and files

Repository files navigation

MLsentdex

About

Resources

Stars

Watchers

Forks

Releases

Packages

Contributors

Languages