Information Technology
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Feature Engineering in R

Course Cover

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

You can use feature engineering to gain useful insights from machine-learning models. You will need to create new features using existing variables in iterative model construction. This will improve the efficiency of your model. This course will show you how to use feature engineering to create continuous and discrete variables.

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

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Exploratory Data Analysis in R

What You Will Learn

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Learn a variety of feature engineering techniques to develop meaningful features that will uncover useful insights about your machine learning models

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In this course, you will explore different data sets and apply a variety of feature engineering techniques to both continuous and discrete variables

Course Instructors

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Jose Hernandez

Data Scientist, University of Washington

Jose is a Data Scientist at the University of Washington eScience Institute. Jose interests include the application of data science methods on sociological and educational data and building open sour...

Course Reviews

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