Core Concepts

• - Labeled data gives direct supervision during learning.
• - Classification predicts classes; regression predicts continuous values.
• - Generalization quality matters more than only training performance.
• - Bias and variance must be balanced for reliable models.

Professional Workflow

1. 1. Define target variable and objective metric.
2. 2. Clean labels and split data into train, validation, test.
3. 3. Train baseline, then tune features and hyperparameters.
4. 4. Validate on unseen data and monitor drift in production.