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Machine Learning with caret in R

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Certification

Machine Learning with caret in R

This course covers fundamentals of machine-learning, including how to create and assess predictive models.

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Description

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Features

This course includes

Duration

4 hours
Video Content
4 hours
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Mobile, Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English

Skills

Random ForestsMachine Learning AlgorithmsData ModelingR ProgrammingRegression

Learning Goals

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
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 Content

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Prerequisites/Requirements

Introduction to Regression in R

Instructors

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Zachary Deane-Mayer

VP, Data Science at DataRobot

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Max Kuhn

Software Engineer at RStudio and creator of caret

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Course Overview

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

Post course interactions

Virtual labs

Case-Based Learning

International faculty

Reviews

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Course Cover

₹1,093

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