The rapidly expanding field of AI/ML Data Science requires a holistic understanding, covering everything from core machine education techniques to sophisticated data handling and insight extraction. This guide offers a hands-on exploration, covering key ideas such as guided and untaught processes, variable construction, model choice, and the essent