Supervised Learning Models

 Supervised Learning Models

Supervised models use input data paired with known output labels to learn the relationship between them.

• Regression models: Predict continuous numeric values like prices or temperatures (e.g., Linear Regression, Ridge, Lasso).
• Classification models: Predict discrete categories or classes (e.g., Logistic Regression, Support Vector Machines, Naive Bayes).
• Decision Trees & Ensembles: Combine multiple decision rules or trees to boost accuracy (e.g., Random Forest).