GateXAIML · ML Concept Notes

Machine Learning: Supervised Learning

Chapter 1
Introduction to Machine Learning
18 sections
What is Machine Learning, Overview of Machine Learning Paradigm, Types: supervised, unsupervised, and reinforcement learning...
Chapter 2
Regression Models
13 sections
Simple Linear Regression, Multiple Linear Regression, Regularized Regression
Chapter 3
Classification Models - I
11 sections
Logistic Regression, k-Nearest Neighbour (k-NN), Naive Bayes Classifier
Chapter 4
Classification Models - II
9 sections
Linear Discrimination Analysis (LDA), Fisher’s Linear Discriminant Analysis (LDA), Bayesian View of Linear Discriminant Analysis
Chapter 5
Model Evaluation and Generalization
19 sections
Cross-Validation Methods, Examples: Cross-Validation Methods, ROC & AUC...
Chapter 6
Regression & Classification Models
47 sections
Decision Trees, Support Vector Machine (SVM), Neural Network Models...