TatevKaren/Deep-Learning-for-Data-Science
Deep Learning Case Studies with Tensorflow and Keras for Beginners-Advanced: ANN, CNN, RNN, Self-Organizing Maps, Boltzmann Machines, Stacked Autoencoders
This project helps retail banks predict which customers are likely to close their accounts. By analyzing customer characteristics like credit score, age, and balance, it identifies the probability of each customer leaving the bank. This allows bank managers and retention teams to proactively engage with at-risk customers.
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Use this if you are a bank manager or data analyst in a financial institution looking to identify and retain customers at risk of churning.
Not ideal if you need a fully deployed, production-ready system, as this provides case studies and foundational models rather than a plug-and-play solution.
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Language
Python
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Last pushed
Feb 26, 2021
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