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Modeling with tidymodels in R

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5

(3)

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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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.

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Highlights

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Rating & Reviews

Top 30 Percentile

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Pedagogy

Top 30 Percentile

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Pedagogy

Acquire all major R Programming skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in R Programming, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

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Rating & Reviews

This highly acclaimed course is among the top-rated in R Programming, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in R Programming.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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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 Instructors

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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

Average Rating Based on 3 reviews

5.0

100%

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