CAREER RECOMMENDER SYSTEM USING RANDOMFOREST ALGORITHM
Sheba Selvam · Journal of Critical Reviews · 2020
Students in the current era are very clear in opting their education and career. In studies and to pursue the desired course, it is necessary for the students to evaluate their skills and to recognize their area of interest. The proposed work uses Random Forest and K-Nearest Neighbors algorithms to allow students to identify the field of interests and talents to bring them in. The work also helps the students in motivating their interests and improve the performance to direct towards their goal. The marks scored by the students in the academics, the interests in different courses,obtained by the set of questions answered are used to predict the career. This kind of career recommender system helps to decide the job role of a particular candidate, which is very useful for job recruiters.