GLM-hackathon

Hackathon on Generalised Linear Model implementation for summer interns

Phase 1: warm-up

Tentatively the week of June 6

• getting familiar with Python programming
• reading the lecture notes of foundation of data science, including the scripts
• finishing the two assignments

Phase 2: practice

Tentatively the week of June 13

• implementing a logistic regression from scratch
• extend to binomial regression
• compare to scikit-learn
• compare to statsmodels

Phase 3: challenge

Tentatively the week of June 20 onwards (optional)

• reimplement logistic regression with existing optimisers, e.g., scipy
• implement beta-binomial regression with optimiser
• compare to aod R package