A Bangalore City university wants to streamline its admission process and enhance efficiency by implementing a machine learning model to predict whether a student will be admitted based on various factors like CGPA, SGPA, PG-CET Score etc

Challenge:

The university aims to automate and optimize the admission decision-making process, taking into account multiple criteria, such as academic performance, standardized test scores, and extracurricular activities.

Learning Objectives

Prepare the necessary ML model which can be best suitable to predict whether a student will be admitted based on various factors like CGPA, SGPA, PG-CET Score etc and also highlights the step which are required to make ML Algorithm model.