Machine Learning project that predicts student placement outcomes based on academic performance, employability test scores, and work experience using classification models.

A static placement company landing website built with HTML, CSS, and JavaScript, deployed using GitHub Pages to present placement services and drive engagement.

Predicting student placement based on CGPA and IQ using SVM (Support Vector Machine kernel="rbf").

Student Placement Prediction Model is an end-to-end machine learning project that predicts student placement outcomes based on features like CGPA and IQ. It uses Python (Pandas, Scikit-learn) to process data, train a model, and assess placement probability for each student.

Minor Machine Learning project on Student Placement Prediction

A web-based Placement Cell Management System that streamlines student recruitment by enabling role-based dashboards, company listings, and application tracking using Firebase.

Student Placement Predictor is a machine learning-based project that predicts whether a student is likely to be placed or not based on academic and skill-related inputs. Built with Scikit-Learn, it uses SVC and Random Forest models and features a Flask-based frontend for real-time prediction.