Machine Learning

Table of Contents

Topics in this note

  • Introduction to ML Models

    Include: Linear Regression, LASSO and Ridge, Logistic Regression, Naive Bayes, Support Vector Machine, Decision Tree, Ensemble Overview & Stacking, Bagging & Random Forest, Boosting, AdaBoost & Gradient Boosting, K-Nearest Neighbors, Clustering Overview & K-Means

  • ML General Knowledge

    Introduction to Machine Learning General knowledge

Last updated on Aug 24, 2021