References
Machine Learning for Economists
Introduction
1
Preface
2
Course Administration
Basic Machine Learning
3
Machine Learning I: Introduction to Machine Learning
4
Machine Learning: A First Example with OLS
5
Machine Learning II: Categorization Algorithm
6
A Tour of Machine Learning Classifiers Using Scikit-Learn
ISL Labs
7
Lab Chapter 2: Introduction to Python
8
Lab Chapter 3: Linear Regression
9
Lab Chapter 4: Logistic Regression, LDA, QDA, and KNN
10
Lab Chapter 5: Cross-Validation and the Bootstrap
11
Lab Chapter 6: Linear Models and Regularization Methods
12
Lab Chapter 7: Non-Linear Modeling
13
Lab Chapter 8: Tree-Based Methods
14
Lab Chapter 9: Support Vector Machines
15
Lab Chapter 10: Deep Learning
16
Lab Chapter 11: Survival Analysis
17
Lab Chapter 12: Unsupervised Learning
18
Lab Chapter 13: Multiple Testing
ML Frameworks
19
Machine Learning Frameworks - Explained
References
Appendices
A
Assignments
B
Test Quarto Stuff
C
Test Quarto Stuff 2
References
19
Machine Learning Frameworks - Explained
A
Assignments