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a hands-on approach to real-life challenges and covers exactly what you need to succeed in the real world of Data Science

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Name		Name	Last commit message	Last commit date
Latest commit History 56 Commits
ANN.R		ANN.R
Breast_Cancer.ipynb		Breast_Cancer.ipynb
Data_Preprocessing.R		Data_Preprocessing.R
Data_Preprocessing.ipynb		Data_Preprocessing.ipynb
Decision_Tree_Regression.R		Decision_Tree_Regression.R
Decision_Tree_Regression.ipynb		Decision_Tree_Regression.ipynb
Decision_tree_classifier.R		Decision_tree_classifier.R
Eclat_Model.R		Eclat_Model.R
Eclat_Model.ipynb		Eclat_Model.ipynb
Grid_Search.ipynb		Grid_Search.ipynb
Hierarchical_clustering.R		Hierarchical_clustering.R
Knn_.R		Knn_.R
Multiple_Linear_Regression.ipynb		Multiple_Linear_Regression.ipynb
Multiple_Linear_Regressipon.R		Multiple_Linear_Regressipon.R
MyPCA.R		MyPCA.R
My_Apriori.R		My_Apriori.R
My_LDA.R		My_LDA.R
My_Simple_Linear_Regression_In_R.R		My_Simple_Linear_Regression_In_R.R
MykernePCA.R		MykernePCA.R
NLP.R		NLP.R
Naive_Bayes.R		Naive_Bayes.R
Natural_Language_Processing.ipynb		Natural_Language_Processing.ipynb
Polynomial_Regression.R		Polynomial_Regression.R
Polynomial_Regression.ipynb		Polynomial_Regression.ipynb
README.md		README.md
Random_Forest_Classification.R		Random_Forest_Classification.R
Simple_Linear_Regression.ipynb		Simple_Linear_Regression.ipynb
Support_Vector_Regression.R		Support_Vector_Regression.R
Support_vector.R		Support_vector.R
Thompson_Sampling.R		Thompson_Sampling.R
UCB.R		UCB.R
apriori.ipynb		apriori.ipynb
artificial_neural_network.ipynb		artificial_neural_network.ipynb
decision_tree_classification.ipynb		decision_tree_classification.ipynb
hierarchical_clustering.ipynb		hierarchical_clustering.ipynb
k-means.R		k-means.R
k_fold_cross_val&Grid_Search.R		k_fold_cross_val&Grid_Search.R
k_means_clustering.ipynb		k_means_clustering.ipynb
k_nearest_neighbors.ipynb		k_nearest_neighbors.ipynb
kernel_pca.ipynb		kernel_pca.ipynb
kernel_svm.R		kernel_svm.R
kernel_svm.ipynb		kernel_svm.ipynb
linear_discriminant_analysis.ipynb		linear_discriminant_analysis.ipynb
logistic_regression.ipynb		logistic_regression.ipynb
naive_bayes.ipynb		naive_bayes.ipynb
principal_component_analysis.ipynb		principal_component_analysis.ipynb
random_forest_classification.ipynb		random_forest_classification.ipynb
support_Vector_Regression.ipynb		support_Vector_Regression.ipynb
support_vector_machine.ipynb		support_vector_machine.ipynb
thompson_sampling.ipynb		thompson_sampling.ipynb
upper_confidence_bound.ipynb		upper_confidence_bound.ipynb
xg_boost.R		xg_boost.R
xg_boost.ipynb		xg_boost.ipynb