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Supervised Learning in R: Classification

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Supervised Learning in R: Classification

This course will cover the basics of machine learning, classification, and other related topics.

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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

Machine Learning AlgorithmsData ModelingSupervised LearningBayesian Designs

Learning Goals

You will come away with a basic understanding of how each algorithm approaches a learning task, as well as learn the R functions needed to apply these tools to your own work
This chapter will provide an overview of the technique while illustrating how to apply it to fundraising data

Course Content

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Prerequisites/Requirements

Intermediate R

Instructors

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Brett Lantz

Data Scientist at the University of Michigan

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Course Overview

Hands-On Training, Instructor-Moderated Discussions

Post course interactions

Virtual labs

International faculty

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Course Cover

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