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Introduction
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Classroom Contents
Build Features for Machine Learning from Netflix Description Text
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- 1 Introduction
- 2 Exploring the data
- 3 Data Budget
- 4 Feature Engineering
- 5 Moat
- 6 Model calibration
- 7 The model
- 8 Resamples
- 9 Evaluation
- 10 Results
- 11 Confusion Matrix
- 12 Tidy
- 13 Autoplot
- 14 Collect metrics
- 15 Collect predictions
- 16 Consistent results
- 17 Tibble
- 18 Fitted workflow
- 19 Linear SVM
- 20 Top 15 words
- 21 Sign value
- 22 Plot
- 23 Testing
- 24 Visualization
- 25 Summary
