Please use this identifier to cite or link to this item:
http://111.93.178.142:25000/jspui/handle/123456789/2696Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Panja, Rahul | - |
| dc.date.accessioned | 2025-11-15T10:40:55Z | - |
| dc.date.available | 2025-11-15T10:40:55Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.uri | http://111.93.178.142:25000/jspui/handle/123456789/2696 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Brainware University | en_US |
| dc.subject | Mental Health, Mental Illness, Prediction,Python, Machine Learning, Depression, Anxiety, Data Science, Healthcare Analytics | en_US |
| dc.title | Predicting mental health in private organization | en_US |
| dc.type | Learning Object | en_US |
| Appears in Collections: | Dept. of CSE-CS & DS | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Abstract_CSE_PR_19.pdf | Predicting mental health in private organization | 675 kB | Adobe PDF | View/Open |
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