Ensemble Methods in Python
Engineering and Technology
Short Description
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.
Long Description
Enhance your understanding of machine learning by exploring the fascinating realm of ensemble learning methods. These techniques, which involve combining multiple algorithms, offer a powerful solution for tackling complex problems across various industries and achieving superior performance. Ensemble methods have consistently emerged victorious in online machine learning competitions. In this comprehensive course, you will delve into advanced ensemble techniques including bagging, boosting, and stacking. Through hands-on exercises, you will gain practical experience applying these methods to real-world datasets using state-of-the-art Python machine learning libraries such as scikit-learn, XGBoost, CatBoost, and mlxtend.
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Course Details
- Duration
- 4 hours
- Format
- Short Course
- Price
- USD39.00
- Course Link More Information