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Problem statement

Outliers can skew analytics and affect ML model performance. Detecting and addressing them early is critical during preprocessing.

The solution could identify extreme values in numerical data using standard statistical methods, e.g.:

• • IQR (Interquartile Range)
• • Z-score
• • MAD (Median Absolute Deviation)

Proposed Solution

Outlier detection for numerical value.

Additional Context

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