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Decision Trees and Ensemble Methods class

Decision Trees and Ensemble Methods class

$9.99

$109.99

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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Has discount
Expiry period Lifetime
Made in English
Last updated at Tue Jul 2024
Level
Beginner
Total lectures 36
Total quizzes 0
Total duration 02:47:43 Hours
Total enrolment 53
Number of reviews 10
Avg rating
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.
Outcomes
  • Be prepared to tackle advanced topics in machine learning with a strong foundational knowledge.
  • Develop skills to handle real-world data science projects involving decision trees.
  • Gain expertise in ensemble methods to enhance model performance.
  • Be able to implement and evaluate decision tree models in Python.
  • Have a solid understanding of decision trees and their applications.
Requirements