Browse Lessons

Statistical Learning: 9.Py ROC Curves I 2023

Statistical Learning: 10.Py Single Layer Model: Hitters Data I 2023

Statistical Learning: 8.Py Tree-Based Methods I 2023

Statistical Learning: 11.Py Cox Model: Publication Data I 2023

Statistical Learning: 7.Py Splines I 2023

Statistical Learning: 7.Py Polynomial Regressions and Step Functions I 2023

Statistical Learning: 6.Py Ridge Regression and the Lasso I 2023

Statistical Learning: 6.Py Stepwise Regression I 2023

Statistical Learning: 5.Py Bootstrap I 2023

Statistical Learning: 5.Py Cross-Validation I 2023

Statistical Learning: 4.Py K-Nearest Neighbors (KNN) I 2023

Statistical Learning: 4.Py Linear Discriminant Analysis (LDA) I 2023

Statistical Learning: 7.Py Generalized Additive Models (GAMs) I 2023

Statistical Learning: 4.Py Logistic Regression I 2023

Statistical Learning: 3.Py Interactions, Qualitative Predictors and Other Details I 2023

Statistical Learning: 3.Py Multiple Linear Regression Package I 2023

Statistical Learning: 3.Py Linear Regression and statsmodels Package I 2023

Statistical Learning: 2.Py Indexing and Dataframes I 2023

Statistical Learning: 2.Py.3 Graphics I 2023

Statistical Learning: 2.Py Data Types, Arrays, and Basics I 2023

Statistical Learning: 2.Py Setting Up Python I 2023

Statistical Learning I Introducing Jonathan - Third Edition of the Course I 2023

Ask About AI: Professor Chris Manning on Foundation Models

Artificial Intelligence Professional Program Overview