Predict Covid 19 using Naive Bayes Classification

How to run this project

1. Install requirements from requirements.txt

$ pip install -r requirements.txt

2. Run train.py to train the model with 5334 data in covid.csv

$ python train.py

3. Run test.py to test the model with last 100 data in covid.csv

$ python test.py

4. Run main.py and choose the features to predict the probability.

$ python main.py

Accuracy gained - 93.00%

See the Demo Video

Dataset Here