https://github.com/rmodi6/ieee-cis-fraud-detection

IEEE-CIS Fraud Detection Kaggle Competition notebooks
https://github.com/rmodi6/ieee-cis-fraud-detection

data-science data-visualization fraud-detection kaggle logistic-regression xgboost

Last synced: 19 days ago
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IEEE-CIS Fraud Detection Kaggle Competition notebooks

• Host: GitHub
• URL: https://github.com/rmodi6/ieee-cis-fraud-detection
• Owner: rmodi6
• License: mit
• Created: 2019-09-16T16:52:55.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-09-28T17:28:21.000Z (over 6 years ago)
• Last Synced: 2025-10-10T12:16:21.870Z (8 months ago)
• Topics: data-science, data-visualization, fraud-detection, kaggle, logistic-regression, xgboost
• Language: Jupyter Notebook
• Homepage:
• Size: 2.16 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# ieee-cis-fraud-detection

This repository contains solutions to the [IEEE-CIS Fraud Detection](https://www.kaggle.com/c/ieee-fraud-detection) competition

on Kaggle given as an assignment for CSE 519 - Data Science Fundamentals course.

`cse519_hw2_modi_ruchit_112685342.ipynb` notebook contains the final submission while other files were used for exploring and 

trying different models. The prediction models are stored in the `models/` directory, `rs_rus_xgb.pkl` being the final model 

used for submission.