Classification

Comprehensive application of ML algorithms in classification problem under caret (R) and scikit-learn (Python) frameworks

• Boosting
  • Adaboost, GBM, XGboost
• Bagging
  • Random forest
• Decision tree
  • CART, Conditional inference tree
• Discriminant analysis
  • LDA, QDA
• Generalized linear regression
• K-nearest neighbors
• Naive Bayes
• Neural networks
• Regularization
  • LASSO (L1), Ridge(L2), Elastic net
• Support vector machines

Data Source

Red wine quality dataset from UCI Machine Learning Repository