Assessing the COVID-19 trends in Pakistan using predictive machine learning techniques an empirical study / Hijab Hassan. [Thesis or Dissertation]
Material type: TextLanguage: English Publication details: Islamabad : COMSATS University Islamabad, 2022.Description: xv, 101 pages : color illustrations ; 30 cm + 1 DVD-ROM (4 3/4 in.)Subject(s): Genre/Form: DDC classification:- 004 HAS-A
- 004 HAS-A
Item type | Current library | Collection | Call number | URL | Copy number | Status | Notes | Date due | Barcode | Item holds |
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Thesis or Dissertation | Junaid Zaidi Library, COMSATS University Islamabad 2nd Floor | Thesis or Dissertation | T 004 HAS-A 12126 (Browse shelf(Opens below)) | Link to resource | 1 | Available | A Post Graduate thesis submitted to the department of Computer Science as partial fulfillment of the requirement for the award of degree of MS Software Engineering. External Examiner: Adnan Sohail, Dr. AP, Computing and Technology, Iqra University, Islamabad. | 10001TP0012126 | ||
Visual Materials/CDs/DVDs | Junaid Zaidi Library, COMSATS University Islamabad 2nd Floor | Thesis or Dissertation | T 004 HAS-A 12126 (Browse shelf(Opens below)) | Link to resource | 1 | Not for loan | A Post Graduate thesis submitted to the department of Computer Science as partial fulfillment of the requirement for the award of degree of MS Software Engineering. External Examiner: Adnan Sohail, Dr. AP, Computing and Technology, Iqra University, Islamabad. | TP0012126 |
Total holds: 0
Thesis A Post Graduate thesis submitted to the department of Computer Science as partial fulfillment of the requirement for the award of degree of MS Software Engineering. External Examiner: Adnan Sohail, Dr. AP, Computing and Technology, Iqra University, Islamabad. COMSATS University Islamabad
MS in Software Engineering.
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