Skip to main content

Money Laundering Expert System - A machine learning framework for financial fraud detection

Project description

Money Laundering Expert System (MLEX)

A comprehensive machine learning framework for financial fraud detection and money laundering prevention.

Features

  • Neural Network Models: GRU, LSTM, and RNN implementations optimized for sequence data
  • Evaluation Framework: Comprehensive evaluation metrics and visualization tools
  • Data Processing: Advanced preprocessing and feature engineering capabilities
  • Model Pipeline: End-to-end machine learning pipelines for fraud detection
  • Visualization: Interactive plotting and analysis tools

Installation

pip install mlex-lib

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mlex_lib-0.0.8.tar.gz (306.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mlex_lib-0.0.8-py3-none-any.whl (47.2 kB view details)

Uploaded Python 3

File details

Details for the file mlex_lib-0.0.8.tar.gz.

File metadata

  • Download URL: mlex_lib-0.0.8.tar.gz
  • Upload date:
  • Size: 306.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.0rc1

File hashes

Hashes for mlex_lib-0.0.8.tar.gz
Algorithm Hash digest
SHA256 3b809d07157424b043419893e9ec5968399487b06e57aedffebd80f2723de6f4
MD5 6e18d01bdc9fb6be5ecdeefcad8a832c
BLAKE2b-256 44b69ecd55e8f203771eccc114eab3b1deeff1e6fd9691ec4851371d9d74cd62

See more details on using hashes here.

File details

Details for the file mlex_lib-0.0.8-py3-none-any.whl.

File metadata

  • Download URL: mlex_lib-0.0.8-py3-none-any.whl
  • Upload date:
  • Size: 47.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.0rc1

File hashes

Hashes for mlex_lib-0.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 400ee8dadd38fd5e6a02cb26bdad253fb12e66c3dd0ab39da83e8877a7554ba8
MD5 6599a877423cf5cd18120a1590174508
BLAKE2b-256 165b496e9c249fe3987b72e966e8957cd41eaa9a782f0019578adb6aa37be351

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page