Load Balancing and Predictive Analysis Model Implementation in Public Cloud

Gagandeep, M.N; Pushpalatha, R; Ramesh, Bharathi

doi:10.1109/discover52564.2021.9663617

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2023

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“…College students often struggle academically because of personal and financial issues at home. College student stress is difficult to detect with the current manual method [8,3,10], college students' mental health is seldom given the attention it deserves. Universities routinely screen for and evaluate the extent of students' mental health issues.…”

Section: Introductionmentioning

confidence: 99%

Stress Level Prediction of College Students Using ML

2023

IJSREM

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College students' mental health is often neglected, which may have serious consequences for their success in academic records. Mental health issues among college students may have far-reaching consequences for both the campus and the students themselves. General counselling, student management systems, and human advisers are just some of the ineffective approaches that institutions are using to track and avoid student stress. Naive Bayes, K-Nearest Neighbor, and Decision Tree are just a few examples of the Machine Learning Algorithms used by the proposed system to determine whether or not a student is experiencing stress and, if student is in stress, the system provide solution for relieving that stress. Key Words: Machine Learning, Naïve Bayes, K-Nearest Neighbor, Decision Tree, Stress, Stress Free, Prediction

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Section: Introductionmentioning

confidence: 99%

Stress Level Prediction of College Students Using ML

2023

IJSREM

View full text Add to dashboard Cite

show abstract

Load Balancing and Predictive Analysis Model Implementation in Public Cloud

Cited by 1 publication

References 11 publications

Stress Level Prediction of College Students Using ML

Stress Level Prediction of College Students Using ML

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