GitHub - Shreejan-git/machine_learning_sklearn: In this repository, I have included the ipynb files that have both scratch and sklearn implementation of ML algorithms with detailed explanation of the algorithm.

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Name		Name	Last commit message	Last commit date
Latest commit History 38 Commits
AUROC_Detail.ipynb		AUROC_Detail.ipynb
Confusion_matrix.ipynb		Confusion_matrix.ipynb
Decision_tree.ipynb		Decision_tree.ipynb
Decision_tree_scratch.ipynb		Decision_tree_scratch.ipynb
GradientDescent_mathematical_formulation.ipynb		GradientDescent_mathematical_formulation.ipynb
GradientDescent_scratch_for_multi_linearRegression.ipynb		GradientDescent_scratch_for_multi_linearRegression.ipynb
Logistic_Regression_with_a_Neural_Network_mindset.ipynb		Logistic_Regression_with_a_Neural_Network_mindset.ipynb
Multiple_linear_regression_sklearn.ipynb		Multiple_linear_regression_sklearn.ipynb
Polynomial_Regression.ipynb		Polynomial_Regression.ipynb
RandomForest.ipynb		RandomForest.ipynb
RegressionPerformanceMatrics.ipynb		RegressionPerformanceMatrics.ipynb
Regularization_Ridge_lasso.ipynb		Regularization_Ridge_lasso.ipynb
Simple_linear_regression_scratch.ipynb		Simple_linear_regression_scratch.ipynb
Simple_linear_regression_sklearn.ipynb		Simple_linear_regression_sklearn.ipynb
Unsupervised_learning.ipynb		Unsupervised_learning.ipynb
Vectorization.ipynb		Vectorization.ipynb
sklearn_different_modelselection.ipynb		sklearn_different_modelselection.ipynb

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In this repository, I have included the ipynb files that have both scratch and sklearn implementation of ML algorithms with detailed explanation of the algorithm.