Here Student Performance Data Set dataset by Data-Science Sean is used to perform EDA and create a machine learning model that can predict student's final grades i.e. Tthe goal is to predict G3 using G1 and G2.
The notebook is available on Kaggle to work in the same environment where this notebook was created i.e. use the same version packages used, etc...
agehas low positive correlation withfailure
Medu&Feduhas moderate positive correlation & they both have low positive correlation withgrades
studytime&gradeshave a low positive correlation
failurehas low negative correlation withgrades
freetimehas low positive correlation withgoout
goouthas low positive correlation withWalc
Walchas moderate positive correlation withDalcand they both have negligible negative correlation
Learning curve
Loss and R2 square metrics
Actual Vs Predicted values




