GitHub - shibinmak/my_machine_learning: machine learning using python 3 work stack

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machine learning using python 3 work stack

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Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
Classified Data		Classified Data
College_Data		College_Data
Ecommerce Customers		Ecommerce Customers
Ecommerse customers[linear regression using sklearn].ipynb		Ecommerse customers[linear regression using sklearn].ipynb
Hierarchial clustering.ipynb		Hierarchial clustering.ipynb
K Nearest Neighbors[classification problem].ipynb		K Nearest Neighbors[classification problem].ipynb
K nearest neigbhour[classification] using sklearn.ipynb		K nearest neigbhour[classification] using sklearn.ipynb
KMEANS CLUSTERING.ipynb		KMEANS CLUSTERING.ipynb
KMeans_ clustering[mall ccustomers].ipynb		KMeans_ clustering[mall ccustomers].ipynb
KNN_Project_Data		KNN_Project_Data
LendingClub_com project[ using tree methods].ipynb		LendingClub_com project[ using tree methods].ipynb
Mall_Customers.csv		Mall_Customers.csv
Market_Basket_Optimisation.csv		Market_Basket_Optimisation.csv
Movie_Id_Titles		Movie_Id_Titles
NLP (pipeline implementation).ipynb		NLP (pipeline implementation).ipynb
Natural Language processing.ipynb		Natural Language processing.ipynb
Polynomial Regression .ipynb		Polynomial Regression .ipynb
Restaurant_Reviews.tsv		Restaurant_Reviews.tsv
SMSSpamCollection		SMSSpamCollection
Support Vector Machines classification [with grid search].ipynb		Support Vector Machines classification [with grid search].ipynb
Titanic dataset [logistic regression].ipynb		Titanic dataset [logistic regression].ipynb
USA_HOUSING[linear regression using sklearn].ipynb		USA_HOUSING[linear regression using sklearn].ipynb
USA_Housing.csv		USA_Housing.csv
apriori.py		apriori.py
k_means_clustering.ipynb		k_means_clustering.ipynb
kyphosis.csv		kyphosis.csv
linearregression_scipy_stats.ipynb		linearregression_scipy_stats.ipynb
loan__data .csv		loan__data .csv
recommender system(item based CF).ipynb		recommender system(item based CF).ipynb
titanic_test.csv		titanic_test.csv
titanic_train.csv		titanic_train.csv
tree methods[dataset-Kyphosis detection of patients] .ipynb		tree methods[dataset-Kyphosis detection of patients] .ipynb
u.data		u.data
u.item		u.item