• P. Bharat Kumar
• P. Sai Vamsi
• S. Surath Singh
• G. Avinash
• Dr. E. Laxmi Lydia

In modern world where technology has advanced, modern people have advanced significantly. The modern world demands highly skilled people and it has always been a dilemma for anyone towards the ensuring of his placement. The placement criteria depends upon many parameters which can access his/her skill level. The current technique is to predict the placement is manual at our college premises. Our aim is to build a machine learning model which can predict the placement based on multiple parameters which ensure the skill set of the user. We use various classification algorithms like KNN, SVM, Logistic Regression, Decision Tree, Gradient Boosting Classifier and Random Forest to compare the accuracy levels of each algorithm using dataset. This application also aims to provide a learning management system to improve the skill-set of the user.

Logistic Regression, SVM, KNN, Decision Tree, Random Forest, Gradient Boosting Classifier, Learning Management System

"PLACEMENT PREDICTION SYSTEM USING CLASSIFICATION ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.c659-c670, June-2022, Available :http://www.jetir.org/papers/JETIR2206282.pdf

"PLACEMENT PREDICTION SYSTEM USING CLASSIFICATION ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppc659-c670, June-2022, Available at : http://www.jetir.org/papers/JETIR2206282.pdf