[ FreeCourseWeb ] 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:

Use Winrar to Extract. And use a shorter path when extracting, such as C: drive

ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)

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