Gradient Descent From Scratch | End to End Gradient Descent | Gradient Descent Animation

This is a comprehensive guide to understanding Gradient Descent. We'll cover the entire process from scratch, providing an end-to-end view. Plus, witness a visual representation with a Gradient Descent animation. Code used: https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day51-gradient-descent Google Tool used: https://developers.google.com/machine-learning/crash-course/fitter/graph ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in/s/store ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 E-mail us at [email protected] ⌚Time Stamps⌚ 00:00 - Intro 01:15 - Summary of Gradient Descent 04:10 - What is gradient descent? 05:22 - Plan of attack 07:25 - Intuition for GD 28:45 - Mathematical Formulation of Gradient Descent 36:11 - Code Demo 47:41 - Creating our own class and methods 57:16 - Vizualizing our class 01:05:05 - Effect of Learning Rate 01:07:33 - Universality of GD 01:10:23 - Performing Gradient Descent by adding 'm' 01:14:15 - Vizualisation 01:23:48 - Code Demo and Vizualization 01:44:35 - Effect of Learning rate 01:49:25 - Effects of Loss Function 01:55:12 - Effect of Data