Logistic regression log odds and Maximum likelihood

In this video, you will understand how the parameters are learnt in logistic regression, you will also learn how the straight line is fit to the dataset and then converted into sigmoid curve.

this will help you in understanding how a decision boundary is made to differentiate data points among different classes.

This video will also help you to understand why the word regression is associated with it, while it deals with classification.

[MrJayanth]

Thanks, Very Clear Explanation. i usually share your videos to my peers who are starting out in ML.

[alihammadshah]

ChatGPT 4o suggested this video for understanding log of odds n logistic regression