Introduction to Machine Learning

Supervised Learning

Unsupervised Learning

Reinforcement Learning

Problem Types

Evaluation Metrics

Train-Test Split

Cross-validation

Overfitting and Underfitting

Tree Construction

Splitting Criteria

Pruning

Implementation in R

Confusion Matrix

Accuracy Metrics

ROC Curves

Cross-validation