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Supervised Learning in R: Regression

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Rating

4.1+

level

Intermediate

Duration

4 hours

video

19 videos

Module

65 exercises

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

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From a machine learning perspective, regression is the task of predicting numerical outcomes from various inputs. In this course, you’ll learn about different regression models, how to train these models in R, how to evaluate the models you train and use them to make predictions.

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Supervised Learning in R: Regression
Supervised Learning in R: Regression
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