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!
Link for Logistic Regression basics:
https://youtu.be/qSAXdKfNmPs
Link for Log Likelihood Loss Function:
https://youtu.be/1VVylBdnr4c
Link for Adaline using Stochastic Gradient Descent:
https://youtu.be/9RJ_bOPGaXY
Link for Autograd in Pytorch:
https://youtu.be/RdYznGdhWkE
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