Supervised Learning in R - Regression, Short Course | Part time online | Data Camp | United States
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Short Online

Supervised Learning in R - Regression

1 days
Duration
Free
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Tuition fee
Anytime
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About

In this Supervised Learning in R - Regression course at Data Camp, you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

Overview

Join over 9 million learners and start Supervised Learning in R: Regression today!

From a machine learning perspective, regression is the task of predicting numerical outcomes from various inputs. In this Supervised Learning in R - Regression course at Data Camp, 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.

Programme Structure

Chapters include:

  • What is Regression? 
  • Issues to Consider 
  • Tree-Based Methods 
  • Training and Evaluating Regression Models 
  • Dealing with Non-Linear Responses

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Prerequisites

  • Introduction to Regression in R

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.

Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing

Funding

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