Student Performance Predictor Application

Rashmi Badadale

Software Engineering | Machine Learning | Data Science

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About this project

• End-to-end application that predicts the student performance based on his/her prior educational and geographic records. The dataset was created synthetically for training and analyzed using seaborn library. • The application was built using Python and trained using a Random Forest model and deployed using Heroku.

Skills

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