Overview
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This course introduces regression for predicting numeric values and demonstrates how to train and evaluate models in R with tidymodels. It uses bike-rental prediction to cover feature engineering, resampling, model comparison, and performance metrics such as RMSE and R-squared.
Syllabus
- Welcome.
- Learning objectives.
- What is regression?​.
- The plan: Predicting bike rentals​.
- Knowledge Check​.
- Feature Engineering with recipes​.
- Resampling for evaluating model performance​.
- Summary​ and conclusion
.
Taught by
Microsoft Developer