Student Placement Prediction Using Machine Learning Models (KNN, SVM, RF, Logistic Regression)

Abstract

It is a dream for the most students to get placed in the process of fulfilling it we have come out with the application which predicts the placement of each student and also gets the data base of them. The system that could fore-cast the chances or the type of company which predicts the probability a semi-final year student to get placed is called a placement predictor. This prediction system helps an institution in the coming years in terms of academic planning. By using the emerging technologies like deep learning and data mining, a lot of predictor models were coming into picture by analyzing the dataset of passed out student. This project gives a method for using algorithm in deep learning to establish a placement prediction model for semi-final year graduates Unlike other methods in this approach we will try multiple methods and finalize the best method to predict the placements.