The burgeoning field of AI/ML Data Science demands a holistic understanding, encompassing everything from basic machine algorithms techniques to complex data handling and understanding extraction. This guide provides a practical exploration, examining key ideas such as supervised and autonomous processes, attribute construction, application choice,