In this video, we take you through the entire process of implementing logistic regression from scratch and using PyTorch. Whether you're just starting with machine learning / deep learning or looking to deepen your understanding, this tutorial covers all the essentials. You'll learn how to build a logistic regression model step-by-step without any libraries and then see how PyTorch can simplify and enhance the process. By the end, you'll have a solid grasp of logistic regression and be ready to apply it in your own projects!<br /><br />Link for Logistic Regression basics:<br />https://youtu.be/qSAXdKfNmPs<br /><br />Link for Log Likelihood Loss Function:<br />https://youtu.be/1VVylBdnr4c<br /><br />Link for Adaline using Stochastic Gradient Descent:<br />https://youtu.be/9RJ_bOPGaXY<br /><br />Link for Autograd in Pytorch:<br />https://youtu.be/RdYznGdhWkE<br /><br /><br /><br />Like, subscribe and share for more content like this!
