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  • Rank 2,849,693 (Top 57 %)
  • Language
    Jupyter Notebook
  • Created almost 5 years ago
  • Updated almost 5 years ago

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Repository Details

This project was part of the MIS6v99 Applied Machine Learning course that I took in Spring 2019. The goal of this project is to help the auditors by building a classification model that can predict the fraudulent firm on the basis the present and historical risk factors. The dataset is collected from the Auditor Office of India to build a predictor for classifying suspicious firms and is publicly available on UCI's Machine Learning Repository.