8000 GitHub - Lakshaypahuja21/Implementation-Machine-Learning-Basics-Notes: Basic templates of codes for quick ML

Name		Name	Last commit message	Last commit date
Latest commit History 29 Commits
Datasets		Datasets
.gitattributes		.gitattributes
Data_Preprocessing_Model.ipynb		Data_Preprocessing_Model.ipynb
Decision_Tree_Regression.ipynb		Decision_Tree_Regression.ipynb
Gradient_Descent_Intro.ipynb		Gradient_Descent_Intro.ipynb
K_Nearest_Neighbor.ipynb		K_Nearest_Neighbor.ipynb
Logistic_Regression.ipynb		Logistic_Regression.ipynb
Multiple_Linear_Regression.ipynb		Multiple_Linear_Regression.ipynb
Polynomial_Linear_Regression.ipynb		Polynomial_Linear_Regression.ipynb
README.md		README.md
Random_Forest_Regression.ipynb		Random_Forest_Regression.ipynb
Simple_Linear_Regression.ipynb		Simple_Linear_Regression.ipynb
Support_Vector_Regression_(SVR)_model.ipynb		Support_Vector_Regression_(SVR)_model.ipynb
apriori.ipynb		apriori.ipynb
decision_tree_classification.ipynb		decision_tree_classification.ipynb
eclat.ipynb		eclat.ipynb
hierarchical_clustering.ipynb		hierarchical_clustering.ipynb
k_means_clustering.ipynb		k_means_clustering.ipynb
kernel_svm.ipynb		kernel_svm.ipynb
naive_bayes.ipynb		naive_bayes.ipynb
notes_gradient_descent_(page 1).ipynb		notes_gradient_descent_(page 1).ipynb
random_forest_classification.ipynb		random_forest_classification.ipynb
support_vector_machine.ipynb		support_vector_machine.ipynb

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