What is the process of transforming raw data into a format that makes it suitable for modeling called?
- Data Visualization
- Data Collection
- Data Preprocessing
- Data Analysis
Data Preprocessing is the process of cleaning, transforming, and organizing raw data to prepare it for modeling. It includes tasks such as handling missing values, feature scaling, and encoding categorical variables. This step is crucial in Data Science to ensure the quality of data used for analysis and modeling.
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