Ensemble Learning | Ensemble Learning In Machine Learning | Machine Learning Tutorial | Simplilearn
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Ensemble Learning is a popular machine learning technique for building models. This video on Ensemble Learning covers the basics of Ensemble Learning Methods. You will learn about the Adaboost and Gradient boosting algorithm. You will get an understanding of the Xgboost technique. The video will make you learn how to create a model using Ensemble Learning. Finally, you will look into the model selection and cross-validation skills.
1. Ensemble Learning
2. Overview
3. Ensemble Learning Methods: Part A
4. Ensemble Learning Methods: Part B
5. Working with Adaboost
6. Adaboost Algorithm and Flowchart
7. Gradient Boosting
8. Xgboost
9. Xgboost Parameters: Part a
10. Xgboost Parameters: Partb
11. Demo: Pima Indians Diabetes
12. Model Selection
13. Common Splitting Strategies
14. Demo: Cross Validation
15. Key Takeaways
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