- See the Statistical Inference & Hypothesis Testing slides
- Review the sampling means Rmarkdown file (preview the output here)
- Read Chapter 7 of Introduction to Statistical Thinking (With R, Without Calculus) for sampling distribution recap and Chapters 5 and 6 have terrific random variables recap and normal distribution recap as well.
- See the Prediction and Regression slides
- HW2 within this week has a large set of problems where you're going to be able to learn all about Orange Juice!
- See Chapter 3 of Introduction to Statistical Learning on regression
- Also covered in Chapter 14 of Introduction to Statistical Thinking
- See the Interpretation t statistics model fit slides
- HW3 within this week investigates interpreting coefficients and cross validation.
- Have a look at the cross_validation_hack which goes through K folds cross validation step by step.
- See here for more on log-log transformations in regression.
- Chapter 12 of Introduction to Statistical Thinking covers hypothesis testing
- See Chapter 5 of Introduction to Statistical Learning on cross-validation
- See the logistic regression and regularization
- HW4 looks at logistic regression for predicting who will take the SAT and LASSO for prediction on the OJ data
- See Chapter 4 of Introduction to Statistical Learning on classification and Chapter 6 on regularization
- Least squares visualization
- Manual model fitting shiny app
- Gradient descent animation
- See here for a table of complexity for model fitting and here for the gory details behind solving the normal equations and gradient descent
- A notebook on linear models with the
modelrfrom the tidyverse - Slides, notes on evaluating models and overfitting
- A notebook on model evaluation
- A notebook on overfitting and cross-validation