A Healthy Insurance Company will release a new product: car insurance for their clients. But the Sales team already have a limited number of phone offering calls and they´re interested to know what´s the best way to direct this calls according to their clients. Let´s help them answering this question!
The dataset of this project is available at https://www.kaggle.com/anmolkumar/health-insurance-cross-sell-prediction
Check the Web App of the project at https://insurance-predictor-buyer.herokuapp.com/
1 - Get insights/information about the database features (EDA step)
2 - Explore and select which features are best related with the "proneness" to get a car insurance
3 - Stress different ML models that best fit our goal in this case (more about that on buyer-prediction rep.)
4 - Apply the best selected ML model on the test dataset to predict unknown client´s responses