STEM / applied
Statistical learning · Undergraduate · Statistics
Topics
Applied statistical learning
- Implementing methods in R (glmnet, caret) or Python
- Tuning lasso and elastic net models
- Comparing learners on benchmark datasets
- Communicating predictive performance to stakeholders
- Reproducible modeling with tidymodels or sklearn
- Case studies in genomics, finance, and marketing
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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