Lectures
Lecture 1: Data exploration
Lecture 1 recording available via Panopto on Canvas.
Lecture 2: Visualization
Week 1 Google Colab Notebook (same notebook as Lecture 1)
Lecture 3: Intro to statistical inference
Recording on Canvas does not have audio. Sorry!
Supplemental video on mean squared error (MSE) is forthcoming.
Lecture 4: Confidence intervals
Recording on Canvas.
Lecture 5: The bootstrap
Recording on Canvas.
Lecture 6: Parametric inference
Recording on Canvas.
Supplemental video on maximum likelihood estimation (MLE) is forthcoming.
Lecture 7: Correlation
Recording on Canvas.
Lecture 8: Simple linear regression
Recording on Canvas.
Supplemental video on minimizing the residual sum of squares with calculus is forthcoming.
Lecture 9: Uncertainty in regression and multiple regression
Recording on Canvas does not have audio. Replacement recording posted on Ed.
Lecture 10: Model evaluation and feature generation
Recording on Canvas does not have audio. Replacement recording posted on Ed.
Supplemental video on log transformations, categorical covariates, and interaction terms on Canvas.
Lecture 11: Logistic regression
Recording on Canvas.
Quiz 1 Review Lecture
Quiz 1 Review Lecture Worksheet
Lecture 12: Classification error metrics
Recording link posted on Ed, not Canvas!
Lecture 13: Bias-variance tradeoff
Recording on Canvas.
Lecture 14: Causal inference I
Recording on Canvas.
Lecture 15: Regularization
Recording on Canvas.
Lecture 16: Causal inference II
Recording on Canvas.
Quiz 2 Review Lecture
Recording on Canvas.