Linear Regression, Gradient Descent, Logistic Regression, NumPy, Pandas | Machine Learning Tutorial

[@aiwroy]

0:00 - Introduction to ML and Supervised Learning 10:30 - Deriving slope and equation of a line 17:37 - Linear Regression 25:05 - Cost Function & Gradient Descent 44:02 - NumPy 50:30 - Pandas 1:04:19 - Gradient Descent in Python 1:12:52 - Linear Regression in Python 1:20:50 - Housing Price Prediction Jupyter Notebook 1:27:50 - Google Colab & Anaconda Distribution 1:30:56 - Summary of Linear Regression 1:37:29 - Logistic Regression 1:41:30 - Deriving the logistic function & sigmoid activation function 1:52:01 - Conclusion

[@snandi14]

Great session on Machine Learning Algorithms

[@mmmm-wm8ci]

Within what duration playlist will be complete

[@vaibhav-bhavsar]

Great session sauvik, Are you also going to cover Gen AI & LLM basics in upcoming sessions?

[@aiwroy]

Yes - I have talked about the path I want to follow at - 1:52:09

[@callmefoodiee167]

Next video when ??​@@aiwroy

[@aiwroy]

Live class tomorrow at 9.30 PM IST. video will be uploaded on 9th September- 1 hour long​@@callmefoodiee167

[@AbhishekKumar-uz4lp]

Can you share pdf ?