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β Achieved a 96% accuracy rate in forecasting student academic performance by developing and
deploying a machine learning model.
β Managed data integrity by handling missing values and encoding categorical variables, enhancing
quality by 33%.
β Conducted experiments with both classification and regression algorithms to identify the most
suitable approach.
β Identified and comprehended key factors influencing academic performance through thorough
analysis.
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