zeelrupapara/Machine-Learning-Models

0) Data Preprocessing 1) Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial 2) Regression, SVR, Decision Tree Regression, Random Forest Regression 3) Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification 4) Clustering 5) Association Rule Learning 6) Reinforcement Learning 7) Natural Language Processing 8) Deep Learning 9) Dimensionality Reduction 10) Model Selection & BoostingSearch, XGBoost

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