STEM / applied
Data mining · Undergraduate · Statistics
Topics
Applied mining projects
- End-to-end Kaggle-style projects
- scikit-learn and tidy modeling pipelines
- Hyperparameter tuning and cross-validation
- Deploying models as simple APIs (intro)
- Ethics: fairness, bias, and explainability
- Big data tools overview: Spark (optional)
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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