STEM / applied
Applied machine learning · Undergraduate · Data science
Topics
Implementation
- scikit-learn or equivalent course stack labs
- End-to-end tabular competition-style project
- Text or image pipeline survey (optional)
- Neural nets at awareness level unless course-required
- Interpreting SHAP/feature importance carefully
- Cost-sensitive decisions and threshold tuning
Responsibility
- Bias, fairness metrics survey, and harms
- Privacy and membership risks (intro)
- Security of model artifacts
- Stakeholder communication of uncertainty
- When not to deploy a model
- Capstone: trained model + evaluation write-up
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$60.00 · 60 min · Undergraduate · Online ($60/hr)
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