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Why is Data Preprocessing required? Explain the different steps involved in Data Preprocessing
1 Answer
| written 9.4 years ago by | modified 9.4 years ago by |
Data Preprocessing is required because:
Real world data are generally:
Incomplete: Missing attribute values, missing certain attributes of importance, or having only aggregate data
Noisy: Containing errors or outliers
Inconsistent: Containing discrepancies in codes or names
Steps in Data preprocessing:
1. Data cleaning: