Student Success Analytics & Placement Tier Prediction System

This paper presented a Student Success Analytics and Placement Tier Prediction System that uses machine learn-ing techniques to estimate student placement probability and classify students into different placement tiers.  Analysis of academic performance and skill-based factors gives important conclusions on students’ preparedness for job placement. With the help of the designed web application, the students are able to use the system, receive prediction results, and get relevant recommendations for enhancing their employability. This method shows the capabilities of using machine learn-ing for making data-driven career advice.

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