The data (sample) were collected in São Paulo — Brazil, The dataset used for this activity has 7 attributes, consumption being a Target, with period of one year.

The goal is to determine what factors contribute o beer consumption and use an appropriate Machine learning model to predict the consumption of beer. The data cleaning, exploratory data analysis, feature selection,model selection etc. is included in the jupyter python notebook in the repository.

The web-app was built using the dash-plotly (https://plotly.com/dash/) framework ,the code for which is in the app.py file.

The link to the webpage is below:

https://dashplotly-demo.herokuapp.com/ (SAFARI,CHROME,EDGE)