README.md

3.2 Training: sklearn models and XGBoost

1. Training pipeline for sklearn models

Videos

1. GDP training set
2. Sklearn training GDP
3. Load models
4. Utility helper functions for loading models
5. Hyperparameter tuning
6. Train sklearn model

Code

• utils/models/sklearn.py
• custom/load_models.py block: load sklearn models dynamically
• transformers/hyperparameter_tuning/sklearn.py
• data_exporters/sklearn.py
• hyperparameters/shared.py

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2. Training pipeline for XGBoost model

Videos

1. Hyperparameter tuning
2. Train XGBoost model

Code

• utils/models/xgboost.py
• transformers/hyperparameter_tuning/xgboost.py
• data_exporters/xgboost.py
• hyperparameters/shared.py

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Code

1. Complete code solution
2. sklearn training pipeline configuration
3. XGBoost training pipeline configuration

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Resources

1. Accuracy, precision, recall

2. Regression model performance metrics