Which step in the Data Science Life Cycle is concerned with cleaning the data and handling missing values?
- Data Exploration
- Data Collection
- Data Preprocessing
- Data Visualization
Data Preprocessing is the step in the Data Science Life Cycle that involves cleaning the data, handling missing values, and preparing it for analysis. This step is crucial for ensuring the quality and reliability of the data used in subsequent analysis.
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