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This study employs a comprehensive dataset encompassing various dimensions such as psychological, physiological, environmental, academic, and social factors to explore the stress. The academic stress of students in current days. To shed light on this topic, i conducted a comprehensive analysis of a.
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A structured dataset comprising 1,100 student observations and 21. Explore the student mental health survey dataset offering detailed insights into student demographics, academic pressure, lifestyle habits, mental health challenges. Leveraging machine learning and explainable ai to understand and predict stress levels in college students.
The purpose of this project was to predict stress levels in students based on multiple factors in 5 different categories (psychological, physiological, environmental, academic and social).
Mental health challenges among college students are rising globally.
