Feature Engineering in R

via

DataCamp

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

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

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Exploratory Data Analysis in R

What You Will Learn

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

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

Course Content

Expand all sections

Module 1: Creating Features from Categorical Data

Module 2: Creating Features from Numeric Data

Module 3: Transforming Numerical Features

Module 4: Advanced Methods

Course Instructors

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...