Transformations
Transformations refer to the process of converting raw data into a more useful format for analysis. This involves cleaning, aggregating, and manipulating data to create new variables or features that can be used to build models or gain insights. Transformations can include tasks such as filtering out irrelevant data, filling in missing values, scaling variables, and creating new variables through feature engineering. Transformations are a critical step in the data science process as they can greatly impact the accuracy and effectiveness of models and analyses.
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