Machine Learning with Tree-Based Models in R, Short Course | Part time online | Data Camp | United States
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Short Online

Machine Learning with Tree-Based Models in R

1 days
Duration
Free
Free
Unknown
Tuition fee
Anytime
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Start date

About

In this Machine Learning with Tree-Based Models in R course at Data Camp, you'll use the tidymodels package to explore and build different tree-based models—from simple decision trees to complex random forests.

Overview

Context of the Machine Learning with Tree-Based Models in R course at Data Camp

Tree-based machine learning models can reveal complex non-linear relationships in data and often dominate machine learning competitions.

You’ll also learn to use boosted trees, a powerful machine learning technique that uses ensemble learning to build high-performing predictive models. Along the way, you'll work with health and credit risk data to predict the incidence of diabetes and customer churn.

Programme Structure

Chapters

  • Classification Trees
  • Regression Trees and Cross-Validation
  • Hyperparameters and Ensemble Models
  • Boosted Trees

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

  • Modeling with tidymodels 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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