Which method involves filling missing values in a dataset using the column's average?
- Min-Max Scaling
- Imputation with Mean
- Standardization
- Principal Component Analysis
Imputation with Mean is a common technique in Data Science to fill missing values by replacing them with the mean of the respective column. It helps maintain the integrity of the dataset by using the column's central tendency.
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