A motivated and detail-oriented graduate seeking an entry-level position to apply my knowledge and skills in a dynamic environment. Eager to contribute to organizational success while continuously learning and growing professionally.
Designing an Intelligence Quotient (IQ)-Based Student Assessment Model Utilizing Machine Learning
Developed a machine learning-based student assessment model integrating algorithms like CatBoost, Extra Trees, MLP Classifier, Naive Bayes, and Linear Discriminant Analysis. The system predicts student performance by correlating IQ with academic metrics, enabling personalized learning approaches. Implemented using Python, Flask, and MySQL, the model enhances assessment accuracy and helps educators tailor teaching strategies based on cognitive abilities.
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