DECISION TREES, RANDOM FORESTS, ADABOOST & XGBOOST IN R [Udemy Free Coupon - 100% Off] | Programming Buddy Club

DECISION TREES AND ENSEMBLING TECHINQUES IN R STUDIO. BAGGING, RANDOM FOREST, GBM, ADABOOST & XGBOOST IN R PROGRAMMING

Discount - $ 29.99 Free 100% Off

• Lectures -
• Skill Level -Beginner Level
• Language - English
• Published - Last updated 9/2019
• Coupon -

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Course Includes

• ☑️ 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

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What Will I learn?

• 📺 4 hours on-demand video
• 📚 14 downloadable resources
• 💓 Full lifetime access
• 📱 Access on mobile and TV
• 📋 Certificate of Completion

Requirements

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

Who is the target audience?

• 🙇 People pursuing a career in data science
• 🙇 Working Professionals beginning their Data journey
• 🙇 Statisticians needing more practical experience
• 🙇 Anyone curious to master Decision Tree technique from Beginner to Advanced in short span of time

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