Student's Dropout Prediction
Melek Amine Toukebri
● Prepared data for analysis using initial data cleaning and organization techniques.
● Designed and developed a data warehouse for efficient data storage and management.
● Applied data mining techniques following the CRISP-DM methodology to identify patterns and
predict student dropouts.
● Created interactive dashboards to visualize data insights and prediction results.
● Developed a web-based tracking application for real-time monitoring and reporting of dropout predictions.
Used Technologies : Microsoft Excel, Python, Talend Open Studio, Power BI Desktop, Streamlit
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Posted Jul 21, 2024
Created a solution that helps predict student's dropout rates in colleges based on several economic, social and demographic factors.
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ESPRIT
