3.2: Linear Regression with Ordinary Least Squares Part 1 - Intelligence and Learning
20:03
3.3: Linear Regression with Ordinary Least Squares Part 2 - Intelligence and Learning
15:56
10.4: Neural Networks: Multilayer Perceptron Part 1 - The Nature of Code
20:27
Regularization Part 1: Ridge (L2) Regression
21:33
3.4: Linear Regression with Gradient Descent - Intelligence and Learning
12:13
Deriving the least squares estimators of the slope and intercept (simple linear regression)
23:00
Coding Challenge 180: Falling Sand
12:15
Econometrics // Lecture 3: OLS and Goodness-Of-Fit (R-Squared)
1:03:43