Labs

The primary homework assignments in this course are lab assignments where you will use python and occasionally other software to acquire, explore, wrangle, and manage different data sets. Please submit a PDF (preferred) or HTML file along with your qmd file. Labs should be submitted on Brightspace.

Each lab is released the week it is assigned; until then its link goes to a placeholder page. Once released, the lab title links to the assignment and the “Template” link downloads the raw .qmd for you to fill in.

1. Bias-Variance Tradeoff
2. The Linear Model
3. Classification
4. Regularization and Generalization
5. Trees and Ensembles
6. Causal Inference
7. Neural Networks and Deep Learning
8. Unsupervised Learning and Pre-Trained Models