15 Random Forests
ECON 111 Machine Learning in Economics: Prediction and Fairness
Course Overview
1 Prediction vs Causation
2 Vectors and Tibbles
Lab 1: dplyr
3 Fulton Fish & dplyr
4 Fulton Fish & ggplot2
5 Linear Probability Model
6 Logistic Classification
7 Confusion Matrices
8 ROC Curves/Thresholds
9 K Nearest Neighbors
10 Bias/Variance Trade-off
11 Feature Engineering
12 Model Choice and Hidden Proxies
Quiz 3 Practice Test
13 Regularization
14 Decision Trees
15 Random Forests
16 Economic Decisions
17 Fairness Metrics
18 Fairness Tradeoffs
19 Deep Learning Part 1
20 Deep Learning Part 2
15 Random Forests
This page will be published at the start of class on
May 19 at 2PM.
14 Decision Trees
16 Economic Decisions