In this repository you will find various Machine Learning models implemented in Python and C. These algorithms will be implemented in Python and C from Scratch. However, mathematical and statistical intuition required to understand these algorithms shall not be disscussed in the programs.
In order to understand the algorithms from a mathematical perspective refer to the following resources:- 1. Machine Learning Mastery -> https://machinelearningmastery.com 2. Krish Naik -> https://www.youtube.com/user/krishnaik06/featured 3. Stat Quest -> https://www.youtube.com/playlist?list=PLblh5JKOoLUICTaGLRoHQDuF_7q2GfuJF 4. Standford online lectures on ML by Prof. Andrew Ng
Also, to understand the python implementation of the ML algorithms using libraries refer to the following resources:- 1. Edureka -> https://www.youtube.com/playlist?list=PL9ooVrP1hQOHUfd-g8GUpKI3hHOwM_9Dn 2. Free Code Camp -> https://www.youtube.com/playlist?list=PLWKjhJtqVAblStefaz_YOVpDWqcRScc2s 3. Simplilearn -> https://www.youtube.com/watch?v=9f-GarcDY58