STEM / applied
Regression analysis · Undergraduate · Statistics
Topics
Applied modeling workflow
- Building models in R or Python (statsmodels, sklearn)
- Cross-validation for model assessment
- Regularization preview: ridge and lasso
- Logistic regression for binary outcomes
- Poisson regression for count data (introduction)
- Reporting regression results for applied audiences
Additional applied practice
- Reviewing assumptions with domain experts
- Documenting analysis choices for reproducibility
- Sensitivity analyses for key modeling decisions
- Connecting results to the original research or business question
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$60.00 · 60 min · Undergraduate · Online ($60/hr)
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