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