Data Set Information:
The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be ('yes') or not ('no') subscribed.
The data cleaning, exploratory data analysis, feature selection,model selection etc. is included in the jupyter python notebook in the repository.
The goal is to predict whether a customer will subscribe to a term deposit.Here a Random forest model was found most suitable.
The web-app was built using the sreamlit (https://www.streamlit.io/) framework ,the code for which is in the app.py file.
The link to the webpage is below:
** https://customer-classificaion.herokuapp.com/** (SAFARI,CHROME,EDGE)