Student Marks Dataset

Description:

The data consists of Marks of students including their study time & number of courses. The dataset is downloaded from UCI Machine Learning Repository.

Properties of the Dataset:
Number of Instances: 100
Number of Attributes: 3 including the target variable.

The project is simple yet challenging as it is has very limited features & samples. Can you build regression model to capture all the patterns in the dataset, also maitaining the generalisability of the model?

Objective:

• Understand the Dataset & cleanup (if required).
• Build Regression models to predict the student marks wrt multiple features.
• Also evaluate the models & compare their respective scores like R2, RMSE, etc.