Classification : Logistic Regression, KNN, Naive Bayes, Decision Tree, SVM, Random Forest
Regression: Linear Regression, Multiple Linear Regression, Polynomial REgression, Decision Tree, SVR, Random Forest
Clusttering: Kmeans, Hierarchical , DBScan
Reinforcement Learning: Random selection, thompson's sampling, upper confidence bound
Recommendation system : Association Rule Learning (Apriori algorithm)
Dimensional reduction technique: PCA, Kernel PCA, LDA
Model selection technique: grid search