JakeRoeleven / Team7_IntroDataEng

41082 - Team 7 - School Attendance Machine Learning Model

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Predicting School Attendance from Local Contextual Factors

MIT License

A project for 41082 – Introduction to Data Engineering, UTS, Autumn 2022

This project focusses on modelling school attendance rates against various contextual local factors such as average income, crime rates and socio-economic status. In this, two machine learning models are produced using MATLAB language, revealing the degree of correlation between attendance rates and chosen indicators to provide a foundation for future predictions.

Authors

  • Anurag Majumder
  • Georgette Bashour
  • Jake Roeleven
  • Samantha Tropea

About

41082 - Team 7 - School Attendance Machine Learning Model

License:MIT License


Languages

Language:MATLAB 100.0%