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Machine Learning with caret in R

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$12

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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

Machine learning is the study and application of algorithms that can learn data and make predictions. It is used in all aspects of our lives, including search results and self-driving cars. This is also one the fastest-growing areas of data science research. This course covers the basics of machine learning. This course teaches you how to create, evaluate, tune, and improve predictive models. This course uses the popular R package, which provides a consistent interface to all R's most powerful machine learning tools.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Introduction to Regression in R

What You Will Learn

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This course teaches the big ideas in machine learning: how to build and evaluate predictive models, how to tune them for optimal performance, how to preprocess data for better results, and much more

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The popular caret R package, which provides a consistent interface to all of R's most powerful machine learning facilities, is used throughout the course

Course Instructors

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Zachary Deane-Mayer

VP, Data Science at DataRobot

Zach is a Data Scientist at DataRobot and co-author of the caret R package. He's fascinated by predicting the future and spends his free time competing in predictive modeling competitions. He's curre...
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Max Kuhn

Software Engineer at RStudio and creator of caret

Dr. Max Kuhn is a Software Engineer at RStudio. He is the author or maintainer of several R packages for predictive modeling including caret, AppliedPredictiveModeling, Cubist, C50 and SparseLDA. He ...

Course Reviews

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5.0

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Course Cover

$12

$6

49% OFF

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