- 6.1 Credit risk scoring project
- 6.2 Data cleaning and preparation
- 6.3 Decision trees
- 6.4 Decision tree learning algorithm
- 6.5 Decision trees parameter tuning
- 6.6 Ensemble learning and random forest
- 6.7 Gradient boosting and XGBoost
- 6.8 XGBoost parameter tuning
- 6.9 Selecting the best model
- 6.10 Summary
- 6.11 Explore more
- 6.12 Homework
Trees
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