The problem Placement_Prediction_Model solves

Placements hold great importance for students and educational institutions. It helps a student to build a strong foundation for the professional career ahead as well as a good placement record gives a competitive edge to a college/university in the education market.

This study focuses on a system that predicts if a student would be placed or not based on the student’s qualifications, historical data, and experience. This predictor uses a machine-learning algorithm to give the result.

The algorithm used is linear regression. Linear regression is basically a supervised classification algorithm. In a classification problem, the target variable(or output), y, can take only discrete values for given set of features(or inputs), X.

Challenges we ran into

Training the Machine Learning model was a hectic,thrilling and exciting task.