Abstract
Choosing the right career is not an easy task in anyone’s life. Peer pressure, parental pressure, and personal interests may all cause mental conflict, making the selection process frustrating. As a result, people make poor career choices and end up working in positions that they despise. To address this problem, this paper investigates the various machine learning algorithms and their applications and analyses if they are suitable for the task. The model's dataset includes a wide range of career paths chosen by a diverse group of people, including working professionals, job seekers and PSC, and IAS aspirants. This paper employs a number of well-known machine learning algorithms in the area of artificial intelligence. The aim of this paper is to compare the performance of the algorithms and decide which algorithm is better suited for the task.
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Thomas, A., Varghese, A.K., Alex, P.L., Mathews, B.J., Dhanya, L.K. (2022). Analysis of Machine Learning Algorithms for Predicting the Suitable Career After High School. In: Bindhu, V., Tavares, J.M.R.S., Du, KL. (eds) Proceedings of Third International Conference on Communication, Computing and Electronics Systems . Lecture Notes in Electrical Engineering, vol 844. Springer, Singapore. https://doi.org/10.1007/978-981-16-8862-1_7
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DOI: https://doi.org/10.1007/978-981-16-8862-1_7
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