Popularity affects by COVID19 Model is a classification model, trained using SparseNormalizer and XGBoostClassifier. https://youtu.be/vtoQF3NQJLY https://he-s3.s3.ap-southeast-1.amazonaws.com/media/sprint/accelerate-ai-hackathon/team/1109734/f537bbbprototype_submission.pptxI have trained a model, based on public dataset available online. I have compiled all the dataset, and extracted the one, which shows the direct affect on a particular age group of COVID19, determined by their sex and the region they belong to. It was asked in the problem statement that we must predict the population that will have highest risk of contracting COVID19. I have created a simple model, which predicts the same, on the basis of sex and the region they live.
- Clone the repo
- Unzip the folder in local machine
- Install all the dependencies
- Install all the dependencies
- Run main.py file
- Enter the sex
- Enter the region, you want to check for