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Machine Learning Model for Credit Risk Classification using Scikit Learn Logistic Regression

Jupyter Notebook 100.00%

classification credit-risk-analysis logistic-regression machine-learning pandas python scikit-learn

credit-risk-classification's Introduction

Credit Risk Classification

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.

Clck here for detailed analysis report

Files

Jupyter Notebook - Credit_Risk/credit_risk_classification.ipynb
Dataset - Credit_Risk/Resources/lending_data.csv

Run Instructions

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

Disclaimer

This repo was published for educational purpose only. Copyright 2024 edX Boot Camps LLC. All rights reserved.

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