06-trees

6. Decision Trees and Ensemble Learning

• 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

Community notes

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• Kwang Yang's Notes
• Alvaro Navas' Notes
• Notes from froukje
• Decision Trees and Ensembled Learning by Oscar Garcia
• Notes from Peter Ernicke
• Notes from Maximilien Eyengue
• Notes from Kemal Dahha
• Add your notes here