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Random Forest Regression

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4.58
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Beginner

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1.5 Hrs

Learning hours

1.4K+

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About this Course

The random forest regression algorithm works on what is termed as “insight of the crowd,” wherein it takes multiple and different regression trees into the picture and chooses the best one by voting, where each tree is made to predict the estimated price of the flat price based on the decision criteria they were made or picked up with. In this course, you will go through this algorithm and hands-on to understand the same.

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Course Outline

Introduction and Overview
What is Random Forest Regression?
Features for Random Forest Regression
Advantages and Disadvantages of Random Forest Regression
Logistic Regression vs Random Forest
Linear Regression vs Random Forest
Random Forest Regression Algorithm
Applications for Random Forest Regression
Random Forest Regression in Machine Learning
Summary for Random Forest Regression

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Random Forest Regression

1.5 Learning Hours . Beginner

Why upskill with us?

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700+ free courses
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