Data Preprocessing and Feature Engineering
Preparing raw data by cleaning, transforming, and creating meaningful features—ensuring it’s in the best shape for analysis or modeling.
Data Preprocessing
Data preprocessing is the process of cleaning, transforming, and organizing raw data into a format that’s ready for analysis, visualization, or modeling.
Feature Engineering
Transforming data into meaningful inputs that improve model accuracy, reveal patterns, and make results easier to understand.
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LinkedIn: caroline-rennier
Email: caroline@rennier.com