https://github.com/jaki729/fraud-prediction
As there are many transaction in this digital world I worked on prediction the Fraud in Payment Services using EDA and ML Algorithm.
https://github.com/jaki729/fraud-prediction
data-visualization exploratory-data-analysis machine-learning python
Last synced: 4 months ago
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As there are many transaction in this digital world I worked on prediction the Fraud in Payment Services using EDA and ML Algorithm.
- Host: GitHub
- URL: https://github.com/jaki729/fraud-prediction
- Owner: jaki729
- Created: 2022-03-23T05:07:25.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-03-23T05:26:01.000Z (over 3 years ago)
- Last Synced: 2025-04-04T01:41:30.707Z (6 months ago)
- Topics: data-visualization, exploratory-data-analysis, machine-learning, python
- Language: Jupyter Notebook
- Homepage:
- Size: 36.1 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Fraud-Prediction
PaySim simulates mobile money transactions based on a sample of real transactions extracted from one month of financial logs from a mobile money service implemented in an African country. The original logs were provided by a multinational company, who is the provider of the mobile financial service which is currently running in more than 14 countries all around the world.
1. Data split 70-30.
2. Model used xgboot classifier.
3. Dataset Link -: https://drive.google.com/file/d/10HL-mIqHqtRiS1BAEKwi9OKm_zvxF1uN/view?usp=sharing