Udemy - Decision Trees, Random Forests, AdaBoost & XGBoost in R

[ FreeCourseWeb.com ] Decision Trees, Random Forests, AdaBoost & XGBoost in R



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Video: .MP4, 1280x720 30fps | Audio: AAC, 44.1 kHz, 2ch | Duration: 4h

Genre: eLearning | Language: English + Subtitles | Size: 1.66 GB



What you'll learn

Solid understanding of decision trees, bagging, Random Forest and Boosting techniques in R studio

Understand the business scenarios where decision tree models are applicable

Tune decision tree model's hyperparameters and evaluate its performance.

Use decision trees to make predictions

Use R programming language to manipulate data and make statistical computations.

Implementation of Gradient Boosting, AdaBoost and XGBoost in R programming language

Requirements

Students will need to install R Studio software but we have a separate lecture to help you install the same

Description

You're looking for a complete Decision tree course that teaches you everything you need to create a Decision tree/ Random Forest/ XGBoost model in R, right?



You've found the right Decision Trees and tree based advanced techniques course!



After completing this course you will be able to:



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