CapitalCall

This project is focused on practicing and integrating machine learning techniques into a Django application. It involves exploratory data analysis, model selection, and hyperparameter tuning, as well as creating a predictive system using train test split. Additionally, the project covers web scraping, Django forms and models, file input, CRUD operations and the use of charts in a Django application.

The application aims to predict whether a bank client is likely to take a term deposit when contacted.

The jupyter notebook file with the machine learning model generation is included in the GitHub repository.