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Contain all Machine Learning stuffs. Training and Evaluation of the classifier. ROC curve , Confusion matrix and tuning best parameters of the classifier etc.

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
0.ml_iris.py		0.ml_iris.py
1.wisconsin_classify_svm.py		1.wisconsin_classify_svm.py
2.Pandas_regression.py		2.Pandas_regression.py
3.Pandas_seaborn.ipynb		3.Pandas_seaborn.ipynb
4.Finding Best model parameters in scikit learn.ipynb		4.Finding Best model parameters in scikit learn.ipynb
5.Selecting best classifier using Cross Validation in sklearn.ipynb		5.Selecting best classifier using Cross Validation in sklearn.ipynb
6a.Evaluate_Classifier.ipynb		6a.Evaluate_Classifier.ipynb
6b.Evaluate_Classifier.py		6b.Evaluate_Classifier.py
7.ROC_svm.py		7.ROC_svm.py
Advertising.csv		Advertising.csv
Evaluate_Classifier.ipynb		Evaluate_Classifier.ipynb
README.md		README.md
breast-cancer-wisconsin.data		breast-cancer-wisconsin.data
pima_indian_diabetes.csv		pima_indian_diabetes.csv

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ML-Using-Python

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Contain all Machine Learning stuffs. Training and Evaluation of the classifier. ROC curve , Confusion matrix and tuning best parameters of the classifier etc.

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