The employment of university gaduates is the last link of university student education and a new starting point for every student's career. It is a very important thing for both the students themselves and the university. Therefore, it is an important task for colleges and universities to guide students to achieve high-quality employment, the whole school needs to be involved and complete. The core of data mining is to search useful data from data-intensive algorithms. In this paper, data mining technology is applied to analyze the employment data of university graduates to find out useful information and relationships, so as to promote student education and employment guidance.
Clustering algorithm
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL
₹10000 (INR)
2018