This educational paperback book by Meetu Malhotra, published by BPB Publications, serves as a technical resource for understanding machine learning concepts. It bridges the gap between theoretical mathematical foundations and practical application by guiding readers through the implementation of core algorithms using the Python programming language. Designed for students, data science practitioners, and developers, this guide provides a structured approach to learning how machine learning models function internally. The content covers the underlying logic of various algorithms, offering clarity on the mathematical principles that drive them and demonstrating how to translate those concepts into functional code. It is suitable for those seeking a deeper comprehension of how to build and refine machine learning projects through a methodical, code-based approach.