Project 1 — Dataset Exploration
A beginner-friendly exploration of a real dataset: distributions, correlations, and practical observations.
Project 2 — Baseline Models
Training simple baseline classifiers (Logistic Regression, Decision Tree) and learning evaluation fundamentals.
Project 3 — Model Interpretation
Understanding why a Decision Tree makes predictions using feature importance and reflection.