Overview
Context
Feature engineering helps you uncover useful insights from your machine learning models. The model building process is iterative and requires creating new features using existing variables that make your model more efficient. In this course in Feature Engineering in R at Data Camp, you will explore different data sets and apply a variety of feature engineering techniques to both continuous and discrete variables.
Programme Structure
Chapters
- Creating Features from Categorical Data
- Creating Features from Numeric Data
- Transforming Numerical Features
- Advanced Methods
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Disciplines
Information Technology (IT) General Engineering & Technology Data Science & Big Data View 62 other Short Courses in General Engineering & Technology in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
PREREQUISITES
Exploratory Data Analysis in RTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing