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Assignment conducted in CS 4372.501.F22 course with fellow classmate Ian Lunt. In this assignment, we used the student performance dataset to fit a linear regression model using SGDRegressor library of scikit-learn and OLS library of statsmodels

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CS 4372-Assignment 1: Linear Regression

Assignment conducted in CS 4372.501.F22 course with fellow classmate Ian Lunt. In this assignment, we used the student performance dataset to fit a linear regression model using SGDRegressor library of Scikit-Learn and OLS library of statsmodels.

Report:

https://1drv.ms/b/s!AmZk6nE6De_nlGa5KK3cj5y1l3Ch?e=Fx2T4w

Dataset Info:

Citation: P. Cortez and A. Silva. Using Data Mining to Predict Secondary School Student Performance. In A. Brito and J. Teixeira Eds., Proceedings of 5th FUture BUsiness TEChnology Conference (FUBUTEC 2008) pp. 5-12, Porto, Portugal, April, 2008, EUROSIS, ISBN 978-9077381-39-7.

http://www3.dsi.uminho.pt/pcortez/student.pdf

UCI Machine Learning Repository Dataset Link:

https://archive.ics.uci.edu/dataset/320/student+performance

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Assignment conducted in CS 4372.501.F22 course with fellow classmate Ian Lunt. In this assignment, we used the student performance dataset to fit a linear regression model using SGDRegressor library of scikit-learn and OLS library of statsmodels

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