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Erschienen in:
2020 | OriginalPaper | Buchkapitel
15. Featurization
verfasst von : Ameet V Joshi
Erschienen in: Machine Learning and Artificial Intelligence
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Abstract
In this chapter, we will study different aspects in featurization or feature engineering. Sometimes it is referred to as feature wrangling too. Featurization represented one of the important aspects of building the machine learning model. We will use a data set called Adult Salary data set from UCI repository to illustrate each step of the featurization. The specific steps we will study are: (1) identifying raw data, (2) building feature set, and (3) handling missing values. We will then look at various methods of visualizing the data. With widespread use of open source machine learning models, featurization is going to remain as most crucial step in building a successful pipeline to maximize the accuracy.