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- Level Intermediate
- Duration 3 hours
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In this 2-hour long project-based course, you will learn how to implement various ensemble techniques and use it in machine learning. Ensemble models in machine learning combine the decisions from multiple models to improve the overall performance, The main causes of error in learning models are due to noise, bias and variance, Ensemble methods help to minimize these factors.Auto Summary
Dive into the fascinating world of ensemble techniques with the "Ensemble Methods in Machine Learning" course, designed for data science and AI enthusiasts. Led by expert instructors from Coursera, this engaging 2-hour project-based course offers intermediate learners a comprehensive understanding of how to implement powerful ensemble methods in their machine learning projects. Perfect for those looking to elevate their data science skills, the course is available for free, making it an accessible and valuable resource for anyone eager to master advanced machine learning techniques.