Classical ML Foundations

Introduction

Start here to understand the principles behind classical ML models.

Topics

• Regression vs Classification
• Scaling and Train/Test Split
• Evaluation Metrics
• Overfitting vs Underfitting
• Bias/Variance and Generalization