For this Machine Learning challenge we are using various techniques to train and evaluate a model based on loan risk. A dataset of historical lending activity from a peer-to-peer lending services company is used to build a model that can identify the creditworthiness of borrowers.
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- Jupyter Notebook - Credit_Risk/credit_risk_classification.ipynb
- Dataset - Credit_Risk/Resources/lending_data.csv
- Launch Jupyter Notebook jupyter notebook
- Jupyter Notebook is opened in a browser
- Open "Credit_Risk/credit_risk_classification.ipynb" file using Jupyter Notebook
- Click on 'Cell > Run All' to run
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