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Predictive Analytics for Personalized Learning by Priya is a document available to read on EtoBox.

This project utilizes predictive analytics to create personalized education pathways by analyzing student data such as academic performance and attendance. It aims to enhance student engagement and academic success while enabling early identification of at-risk students through machine learning techniques. The proposed system is designed to provide tailored recommendations for course selections and study strategies, ultimately improving learning outcomes and retention rates.

Author
Priya
Language
EN