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LO-1
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Students apply preprocessing, transformation, and encoding techniques to make raw data suitable for analysis. |
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LO-2
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Students generate new features and employ dimensionality reduction/feature selection methods to improve model performance. |
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LO-3
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Students extract meaningful features from text, time-series, and categorical data. |
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LO-4
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Students apply feature engineering techniques on large and complex datasets to enhance classification, regression, and clustering models. |