Code templates for different ML algorithms

Data Processing Categorical Encoding Splitting of dataset Feature Scaling Backward Propagation Forward Selection PCA LDA Kernel PCA k fold Cross validation xgboost

Simple Linear Regression Multiple Linear Regression Polynomial Linear Regression Support Vector Regression

Decision Trees

Classification Linear Classifier kNN Support Vector Machines Kernel SVM Naive Bayes Classifier Decision Tree Classifier Random Forest Classifier

Clustering K means Hierarchical Clustering

Association Rules Apriori Eclat Association

Reinforcement Learning UCB - Upper Confidence Bound - Multi hand bandit Thompson Sampling

NLP Bag of Words

ANN