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Credit_Risk_Analysis

the Goal of this project was to find implement a Machine Learning model to predict if a client would or would not default on a loan. Currently a Logistic Regression model was used through the SkLearn library and an 86% Accuracy was obtained through hyperparamter tuning. moving forward, may go back to project to implement other ML models to see if a higher accuracy can be obtained. done in summer of 2023.

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