Test how well the AI performs on new, unseen data. Fine-Tune: Adjust settings to improve accuracy.

Basic statistics, probability, and linear algebra form the "brain" of AI models.

Install core AI libraries using pip . Key libraries include NumPy (for math), Pandas (for data), and Scikit-learn (for machine learning). Step 2: Understanding the AI Workflow