The burgeoning field of AI/ML Data Science necessitates a integrated understanding, encompassing everything from basic machine education techniques to complex data manipulation and insight extraction. This guide offers a hands-on exploration, addressing key ideas such as trained and autonomous learning, feature creation, model choice, and the cruci