Feature engineering is the process of using domain knowledge and insight into data to define features that enable machine learning algorithms to work successfully. Feature engineering is a fundamental part of the data preparation workflow for machine learning solutions.
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Feature engineering is the process of using domain knowledge and insight into data to define features that enable machine learning algorithms to work successfully. Feature engineering is a fundamental part of the data preparation workflow for machine learning solutions.
Feature engineering is the process of using domain knowledge and insight into data to define features that enable machine learning algorithms to work successfully. Feature engineering is a fundamental part of the data preparation workflow for machine learning solutions.
What You'll Learn
What's inside
Five courses
Preparing Data for Feature Engineering and Machine Learning
(3 hours)
Preparing Data for Feature Engineering and Machine Learning
(3 hours)
Building Features from Numeric Data
(2 hours)
Building Features from Numeric Data
(2 hours)
Reducing Complexity in Data
(3 hours)
Reducing Complexity in Data
(3 hours)
Building Features from Text Data
(2 hours)
Building Features from Text Data
(2 hours)
Building Features from Image Data
(2 hours)
Building Features from Image Data
(2 hours)Save this collection
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