Impact of Food Types consumed on spread of COVID-19 in a country.

The project uses a dataset of percentage of energy obtained from different types of food in a country and the percentage of population infected by corona virus in that country.In total 4 machine learning and deep learning models are used and the best of them is selected for final deplyment in a python notebook which predicts the same for given input percentage of food types.

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Impact of type of food consumed on spread of COVID-19_ADD.docx		Impact of type of food consumed on spread of COVID-19_ADD.docx
README.md		README.md
consumer_ppt.pptx		consumer_ppt.pptx
data_1.JPG		data_1.JPG
deploy_1.JPG		deploy_1.JPG
deploy_2.JPG		deploy_2.JPG
food_impact_covi.data_exp.1.ipynb		food_impact_covi.data_exp.1.ipynb
food_impact_covid.deploy.1.ipynb		food_impact_covid.deploy.1.ipynb
food_impact_covid.etl.1.ipynb		food_impact_covid.etl.1.ipynb
food_impact_covid.feature_eng.1.ipynb		food_impact_covid.feature_eng.1.ipynb
food_impact_covid.model_eval.1.ipynb		food_impact_covid.model_eval.1.ipynb
food_impact_covid.model_train.dl.1.ipynb		food_impact_covid.model_train.dl.1.ipynb
food_impact_covid.model_train.svr.1.ipynb		food_impact_covid.model_train.svr.1.ipynb
team_ppt.pptx		team_ppt.pptx