These handwritten notes cover core mathematics required for Data Science and Machine Learning, including Linear Algebra, Statistics, and Calculus. Concepts such as matrix operations, eigenvalues, probability distributions, derivatives, and ML-related transformations are presented in a simple, intuitive manner. Ideal for students and professionals seeking a solid mathematical foundation without heavy theory.
