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Master feature engineering and data preprocessing techniques for improved machine learning model performance. Data quality assessment: 1. Missing data analysis: missing completely at random (MCAR), missing at random (MAR), patterns identification. 2. Outlier detection: IQR method (Q1-1.5*IQR, Q3+1.5...
Build an automated data quality monitoring system. Checks to implement: 1. Completeness (null percentage per column). 2. Uniqueness (duplicate detection). 3. Validity (regex patterns, range checks). 4. Timeliness (data freshness alerts). 5. Consistency (cross-table referential integrity). Create a d...
