What you’ll learn
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The algorithm behind recursive partitioning decision trees
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Construct conditional inference decision trees with R`s ctree function
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Construct recursive partitioning decision trees with R`s rpart function
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Learn to estimate Gini´s impurity
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Construct ROC and estimate AUC
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Random Forests with R´s randomForest package
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Gradient Boosting with R´s XGBoost package
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Gradient Boosting parameter tuning
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Deal with missing data
Who this course is for:
- The ideal students of this course are university students and professionals interested in machine learning and business intelligence.
Can I download Decision Trees, Random Forests & Gradient Boosting in R course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Decision Trees, Random Forests & Gradient Boosting in R course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.