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Intro to Machine Learning. Uses random forest and logistic regression models to compare accuracy on loan approvals.

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GMyers95/supervised_machine_learning_challenge

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supervised_machine_learning_challenge

Overview


Compares the accuracy of two machine learning classification models that determine whether to approve or reject a loan request.


Technologies

  • Python
  • Scikit-Learn

Setup and Installation

  1. Environment needs the following:
    • Python 3.6+
    • pandas
    • scikit-learn
  2. Clone the repo to your local machine
  3. Activate your environment in that directory
  4. Open a Jupyter Notebook
  5. Run Credit Risk Evaluator.ipynb

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Intro to Machine Learning. Uses random forest and logistic regression models to compare accuracy on loan approvals.

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