Stochastic Gradient Descent: Simplify the concept of Stochastic Gradient Descent in this video. We'll break down the fundamentals in easy terms, giving you a clear understanding of how this optimization algorithm works. Code used : https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day52-types-of-gradient-descent ============================ 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 support@campusx.in ⌚Time Stamps⌚ 00:00 - Intro 00:21 - The problem with batch gradient descent 06:14 - Stochastic Gradient Descent 06:33 - Code Demo 12:25 - Creating our own SGD Class from Scratch 27:53 - Time Comparison/ Question for you 30:35 - Code Visualization 35:35 - When should you use SGD? 41:41 - Learning Schedules 44:25 - SGD Regressor Class in SKLearn