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Requirements:
- Problem definition (5): research questions, data
- Analysis execution (5): choice of tools, model generation and comparison
- Report (5) and Presentation Video (5)
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Report:
- As concise as possible (penalty term for number of pages)
- Rmarkdown is good enough
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Presentation
- Around 15-minute self-recorded video
- To cover the high-level messages not technical details
- Better to involve all the team members
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Statistical Learning with R Caret, Tidyverse: Ridge/Lasso Regression, k Nearest Neighbors, SVM, Random Forest, XGBoost, Ensembles
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