The Project aims to predict student marks using Bayesian Linear Regression. Marks are considered as continuous variable here and hence the problem can be modeled as regression problem. Total 6 features are used for prediction(out of total 33 as in dataset). The features are:
- Mother education
- Father education
- Studytime
- Previous class failures
- Higher education
- Absences
The project is built in Python3.
Bayesian regression is implemented using pymc3 module. An intuitive user interface is also provided using tkinter module.