This paper studies different machine learning algorithms such as Logistic regression, Random Forest, KNN, SVM. These machine learning algorithms will be used to predict the results on a …

the institute's capacity to place its pupils. The goal of this project is to analyse student placement data from the previous academic year and use it to estimate the likelihood that current …

In Placement Prediction system predicts the probability of a undergrad students getting placed in a company by applying classification algorithms such as Decision tree and Random forest. …

Mar 9, 2022 · This paper presents the development of placement predictor system (PPS) using logistic regression model.

Mar 27, 2022 · In this work, machine learning techniques have been used to predict placement students of engineering students of computer science discipline. Logistic Regression and …

This paper addresses the placement chance prediction problem and placement and skill ranking predictors for programming classes using class attitude, psychological scales, and code...

In this paper the focus on machine learning technique to predict placement status of the student provided through text input. The placement prediction is done by machine learning using …

Placement prediction using machine learning involves the analysis of vast datasets encompassing candidate profiles, skillsets, and historical placement outcomes. Through sophisticated …

Mar 10, 2025 · The main objective of our work is to assess and analyze the data of past year students and use then to predict the placement probability of the students who are presently …

We have designed a campus placement prediction system aimed at assessing a student's likelihood of securing employment through campus recruitment. This predictive model …