Describe the Process of Feature Engineering using SQL.
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To enhance the functionality of machine learning models, feature engineering entails developing new features or altering preexisting ones. Making use of SQL
Creating summary characteristics like total, average, and count is known as aggregation.
Transformations: Changing existing features via mathematical transformations (square root, logarithm, etc.).
Sorting continuous variables into bins is known as bin/group data.
Date Features: Partitioning dates (day, month, and year).
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