Modeling with tidymodels in R

DataCamp

(3)

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Tidymodels is a powerful suite of R packages that simplifies machine-learning workflows. Split data for cross validation, preprocess data with tidymodels' recipe pack and fine-tune machine learning algorithms. You will learn key concepts such as how to create modeling workflows and define model objects. Next, use your knowledge to predict home prices and classify employees according to their likelihood of leaving the company.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Modeling with Data in the Tidyverse

What You Will Learn

Learn to streamline your machine learning workflows with tidymodels

You'll learn key concepts such as defining model objects and creating modeling workflows

Course Content

Expand all sections

Module 1: Machine Learning with tidymodels

Module 2: Classification Models

Module 3: Feature Engineering

Module 4: Workflows and Hyperparameter Tuning

Course Instructors

David Svancer

Data Scientist

David is a data scientist in the Washington D.C. area where he helps organizations leverage data science and machine learning to solve complex business problems and build data products. He is also...

Course Reviews

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