DSML-Classical-Machine-Learning-1

Machine Learning 1 :

Linear Regression

• Simple and Multiple regression
  • OLS - closed form solutions
  • Gradient Descent
  • Batch | Stochastic | MiniBatch Gradient descent Regression
• Ridge and Lasso Regularisation
• ElasticNet Regularisation
• Polynomial Features

Logistic Regression

k-Nearest Neighbours

Decision Tree

Ensemble Learning:

Bagging :

• Bagging
• Random Forest

Boosting :

• GBDT - Gradient Boosting Decision Tree
• XGBoost
• Cascading
• Stacking

Naive Bayes

SVM - Support vector Machine