🤖 Machine Learning Models

This section provides structured resources for building, evaluating, and interpreting machine learning models. Here you'll find guides and references for regression, classification, and clustering approaches—helping you select the right tools for your data analysis tasks.

📂 Section Links

• 📈 Regression Models — Covers both linear and logistic modeling techniques.
• 📊 Classifier Models — Supervised ML model selection and evaluation.
• 🔍 Clustering Models — Unsupervised learning for pattern and group discovery.