Student Placement Prediction System

Student Placement Prediction System

Yash Valwe, Anushka Vairal, Aayushi Wadale, Kamlesh Wagh

Department of Multidisciplinary Engineering, Vishwakarma Institute of Technology, Bibwewadi, Pune

Abstract: The work is undertaken with an objective of making a student Placement prediction model using Machine Learning logistic regression algorithm. The student placement prediction system is an essential tool in placement process to assist students, counsellors, and employers. This study proposes a prediction model for student placement using logistic regression. The data used for this study comprises of students SSC, HSC, Degree percentage and also using work experience. This Machine learning tool is used to predict the student placed in the specific sector or not based on their performance of SSC, HSC, Degree and Test percentage. The Logistic regression model is used to train the dataset. The logistic regression algorithms predicts the placement of students more accurate than the other Machine Learning Algorithm like KNN, Random Forest, Decision Tree, etc. This research paper presents a comprehensive study on the application of the logistic regression algorithm for student placement prediction.

Key Words: Machine Learning, Logistic Regression, Prediction.