BBDU Institutional Repository
BBDU Institutional Repository preserves and enables easy and open access to all types of digital content including text, images, moving images, mpegs and data sets
Please use this identifier to cite or link to this item:
http://192.168.29.201:8080/xmlui/handle/123456789/1058Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Rastogi, Sakshi | - |
| dc.date.accessioned | 2024-02-08T04:49:00Z | - |
| dc.date.available | 2024-02-08T04:49:00Z | - |
| dc.date.issued | 2022-05 | - |
| dc.identifier.uri | http://192.168.29.201:8080/xmlui/handle/123456789/1058 | - |
| dc.language.iso | en | en_US |
| dc.publisher | BBDU | en_US |
| dc.subject | Software Engineering | en_US |
| dc.title | An Efficient Approach to Detect Depression through Predictive Analysis | en_US |
| dc.type | Thesis | en_US |
| Appears in Collections: | Computer Science Engineering | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1200449006_Km. Sakshi Rastogi.pdf | 2.48 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.