Further reading
For more information on the topics that were covered in this chapter, please refer to the following resources:
- Cross-validation and Parameter Tuning, from the book Mastering Predictive Analytics with scikit-learn and TensorFlow, Alan Fontaine, September 2018:
- https://subscription.packtpub.com/book/big_data_and_business_intelligence/9781789617740/2/ch02lvl1sec16/introduction-to-hyperparameter-tuning
- sklearn-deap at GitHub: https://github.com/rsteca/sklearn-deap
- Scikit-learn AdaBoost Classifier: https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html
- UCI Machine Learning Repository: https://archive.ics.uci.edu/
