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GitHub / NeuronalLab / Credit-Risk-Classification_Random-Forest_Python
In this video we explore the robust capabilities of Random Forest algorithms in assessing credit risk. We navigate through a dataset of 1,000 bank customers, analyzing loan repayment patterns to build a Machine Learning model to classify potential loan requests, distinguishing between good and bad customers with remarkable accuracy.
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 67.4 KB
Dependencies:
206
Created: 16 days ago
Updated: 13 days ago
Last pushed: 13 days ago
Last synced: 13 days ago
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Dependencies
requirements.txt
pypi
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