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Tidymodels
整理 R 里的统计建模与机器学习工作流。
4 章
- 01Base R Modeling FundamentalsFormula syntax and traditional R modeling workflow
- 02Exploratory Data AnalysisEDA checks before modeling, using the Ames data as the running example
- 03Data SpendingTrain/test/validation splitting and leakage control for model assessment
- 04Performance MetricsChoosing and reading regression / binary / multiclass metrics with yardstick