Stress Prediction of Professional Students using Machine Learning

  • Sharma D
  • et al.
N/ACitations
Citations of this article
24Readers
Mendeley users who have this article in their library.
Get full text

Abstract

As the globalization, are expanding individuals twist towards the cutting-edge life Stress issue turns into a significant issue among in experts and understudies life. The term pressure is causing different mental issue face to face. Understudies of various courses and distinctive expert college are expanding ambushed with this pressure. The points of this examination are to research natural, social, mental and scholarly postgraduate and doctoral understudies. The quantity of tests of this investigation are 220 undergrad and postgraduate understudies. The information of my examination was gathered independent from anyone else – planned poll and by PSS Scale and the overview has organized inquiries which were gathered through google dox. There are many pressure expectation calculations has been proposed like SVM, KNN, RANDOM FOREST, NAVIE BAYES, LOGISTIC REGRESSION, DECISION TREE. Different machine learning methods are utilized that related in this field. Too, it talks about the application territories and difficulties for stress forecast with knowledge into the past research work.

Cite

CITATION STYLE

APA

Sharma, D., & Chaudhary, S. (2020). Stress Prediction of Professional Students using Machine Learning. International Journal of Engineering and Advanced Technology, 9(5), 48–53. https://doi.org/10.35940/ijeat.e9251.069520

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free