Name: Student Marks Dataset
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

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.

Tables

Student Marks

@kaggle.yasserh_student_marks_dataset.student_marks

4.45 KB
100 rows
3 columns


CREATE TABLE student_marks (
  "number_courses" BIGINT,
  "time_study" DOUBLE,
  "marks" DOUBLE
);