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LO-1
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-Students can identify missing values, outliers, and inconsistencies in datasets and make them suitable for machine learning models.
-They can generate new and meaningful features from existing data by applying mathematical and statistical transformations to maximize model performance.
-They can successfully apply appropriate feature selection and dimensionality reduction algorithms to deal with the curse of dimensionality.
- They can design and execute automated feature engineering (AutoFE) processes end-to-end on large and complex data. |