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Cost Complexity Pruning (Theory + Code) 9 месяцев назад


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Cost Complexity Pruning (Theory + Code)

Cost complexity pruning (CCP) made easy! In this video we will explain about pruning, specifically cost complexity pruning, and also augment our previous (manual) tree implementation in python to incorporate CCP (again, using only numpy and built in functions). Trees Playlist: https://bit.ly/MeerkatStatisticsTrees Become a member and get full access to this online course: https://meerkatstatistics.com/courses... ** 🎉 Special YouTube 60% Discount on Yearly Plan – valid for the 1st 100 subscribers; Voucher code: First100 🎉 ** "Decision Trees" Mini Course Outline: Course Materials Introduction to Decision Trees Split Criteria Stop Criteria, Categorical Data, Missing Values and Implementation Details Build a Decision Tree from scratch in Python using numpy Code - Moving to a class implementation, entropy Code - Building the tree using a stack and a queue Code - Regression Trees Cost Complexity Pruning - Theory and Code If you’re looking for statistical consultation, work on interesting projects, or training workshop, visit my website https://meerkatstatistics.com/ or contact me directly at [email protected] ~~~~~ SUPPORT ~~~~~ Paypal me: https://paypal.me/MeerkatStatistics ~~~~~~~~~~~~~~~~~

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