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