Unlock the power of decision trees and ensemble methods with our in-depth course. Designed for both beginners and seasoned professionals, this class covers the theory and practical implementation of decision trees, along with advanced ensemble techniques like bagging, boosting, and random forests. Through hands-on projects and real-world examples, you'll gain the skills needed to build and optimize machine learning models, preparing you for advanced topics and enhancing your career in data science.
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Expiry period | Lifetime | ||
Made in | English | ||
Last updated at | Tue Jul 2024 | ||
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Total lectures | 36 | ||
Total quizzes | 0 | ||
Total duration | 02:47:43 Hours | ||
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Number of reviews | 10 | ||
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Short description | Unlock the power of decision trees and ensemble methods with our in-depth course. Designed for both beginners and seasoned professionals, this class covers the theory and practical implementation of decision trees, along with advanced ensemble techniques like bagging, boosting, and random forests. Through hands-on projects and real-world examples, you'll gain the skills needed to build and optimize machine learning models, preparing you for advanced topics and enhancing your career in data science. | ||
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