am-aditya/Artificial-Intelligence-for-Banking
This project contains codes and notebooks related to various use cases for banking.
This collection of AI solutions helps banking and finance professionals tackle common business challenges. It takes raw customer and transaction data as input and provides models and insights for tasks like identifying fraudulent activities, suggesting relevant products, calculating customer lifetime value, and predicting when customers might leave. This is ideal for data scientists or business analysts in the banking sector.
No commits in the last 6 months.
Use this if you are a banking professional looking for ready-to-use AI models and code to address fraud, customer retention, product recommendations, or customer value analysis.
Not ideal if you are looking for a plug-and-play application with a user interface, as this project provides underlying code and models.
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Jupyter Notebook
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Last pushed
Sep 26, 2018
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