Abstract
In the machine learning process, after business understanding, the next step is collecting the right data, feature selection, and data wrangling. Data wrangling includes data cleaning, joining different data sources, quality control, data integration, data transformation, and data reduction processes (Figure 6-1).
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© 2019 Leila Etaati
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Etaati, L. (2019). Data Wrangling for Predictive Analysis. In: Machine Learning with Microsoft Technologies. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3658-1_6
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DOI: https://doi.org/10.1007/978-1-4842-3658-1_6
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