Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/528965
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Centre for Management Studies | - |
dc.date.accessioned | 2023-12-12T10:38:02Z | - |
dc.date.available | 2023-12-12T10:38:02Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/528965 | - |
dc.description.abstract | NA | - |
dc.format.extent | vi, 234 | - |
dc.language | English | - |
dc.relation | Yes | - |
dc.rights | university | - |
dc.title | Machine learning and employability a study of employability factors in predicting employment of management graduates | - |
dc.title.alternative | Na | - |
dc.creator.researcher | Gupta, Ruchika | - |
dc.subject.keyword | Economics and Business | - |
dc.subject.keyword | Management | - |
dc.subject.keyword | Social Sciences | - |
dc.description.note | Reference page. 180-234 | - |
dc.contributor.guide | Ansari, Amirul Hasan | - |
dc.publisher.place | Delhi | - |
dc.publisher.university | Jamia Milia Islamia University | - |
dc.publisher.institution | Centre for Management Studies | - |
dc.date.registered | NA | - |
dc.date.completed | 2023 | - |
dc.date.awarded | 2023 | - |
dc.format.dimensions | NA | - |
dc.format.accompanyingmaterial | DVD | - |
dc.source.university | University | - |
dc.type.degree | Ph.D. | - |
Appears in Departments: | Centre for Management Studies |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title page.pdf | Attached File | 188.53 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 913.74 kB | Adobe PDF | View/Open | |
03_contents.pdf | 708.14 kB | Adobe PDF | View/Open | |
04_chapter 1- introduction.pdf | 345.4 kB | Adobe PDF | View/Open | |
05_chapter 2- review of literature.pdf | 257.34 kB | Adobe PDF | View/Open | |
06_chapter 4- analysis and results.pdf | 1.18 MB | Adobe PDF | View/Open | |
07_ chapter 5- discussion and conclusion.pdf | 165.9 kB | Adobe PDF | View/Open | |
08_annexures.pdf | 3.9 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 346.63 kB | Adobe PDF | View/Open |
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