Full material
₦ 5,000 $(29)
| Pages | 76 |
| Delivery | Instant, after payment |
Project Details
| Department | Computer Science |
| Type | Project |
| Pages | 76 |
| Reference Style | YES |
| Format | MS Word & PDF |
| Reference No. | CPU2674 |
Abstract
The global economy has faced an unprecedented threat from the COVID-19 outbreak. The current illness is ravaging Africa at an exponential rate, and all of the continent's nations are experiencing the effects of the epidemic. In this study, we used the COVID-19 outbreak as a case study to examine the prediction of the economic impact of the pandemic in Sub-Saharan Africa (SSA). We adopted several models to work on the dataset to compare which one worked best for all 3 target variables and we discovered that Gradient Boosting worked best across all 3 models. We adopted the gradient boosting appr…
This is a preview.Unlock the full abstract, all chapters and references.
Unlock Full Material
Full material
₦ 5,000 $(29)
| Pages | 76 |
| Delivery | Instant, after payment |
