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Classroom Contents
Tuning Random Forest Hyperparameters with Tidymodels
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- 1 Introduction
- 2 Data
- 3 Species
- 4 Date variable
- 5 Map
- 6 Village Visualization
- 7 Building a model
- 8 Preprocessing
- 9 Stepother
- 10 Results
- 11 Data Preprocessing
- 12 Date Column
- 13 Downsample
- 14 Model specification
- 15 Tuning
- 16 Workflow
- 17 Preprocessor
- 18 Parallel processing
- 19 Tuning results
- 20 Plotting
- 21 Tuning parameters
- 22 Updated grid
- 23 Regular grid
- 24 Transparent grid
- 25 Finding best values
- 26 Finalizing model spec
- 27 Adding the final model
- 28 Global variable importance
- 29 Testing data
- 30 Final workflow
- 31 Last fit
