Prediction of Future Career Path Using Different Machine Learning Models

The main purpose of this paper is to examine the strength and weaknesses of a student based on their performance in different exams. Students are classified using the K-means classification algorithm and decision tree. The proposed model will help teachers to comprehend their students well and will also assist the students to get their most serviceable job. The data mining technique capable of analyzing relevant results is used over the students’ information to produce relevant correlations and produce different aspects to understand more about the students. The paper proposes a model based on a classification approach in finding an enhanced evaluation method for students and predict the placement prospects.