participants will develop machine learning models to predict whether a student will be admitted into a graduate program based on their academic profile, including standardized test scores, university rating, CGPA, and research background.
Files
Description
Files
Is an example of what your submission file should look like. The order of the rows does not matter, but the names of the ID should be correct. The value of Admitted is 1 if the admission is successful and 0 otherwise.
This is a starter notebook to help you with your first submission.
This is the dataset on which you should test your model.
This dataset includes labelled examples of successful (Admitted = 1) and failed (Admitted = 0) admission applications. You will use it to train your model.
Definition of the features in training and test files.
