Supervised Machine Learning With Python: Classification: Ensemble Techniques
In essence, this approach is used to adapt current classification algorithms to fit imbalanced data sets. We build numerous two-stage classifiers using this methodology from the initial data, and we then combine their predictions. An illustration of an ensemble-based classifier is the random forest classifier.
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10moExcited to dive into the world of ensemble techniques! 🌟
Founder Director @Advance Engineers | Zillion Telesoft | FarmFresh4You |Author | TEDx Speaker |Life Coach | Farmer
10moExcited to explore the world of ensemble techniques! 🌟
Excited to learn more about ensemble techniques! How do you usually tackle imbalanced datasets? Shivek Maharaj