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kc_proyecto_final's Introduction

Modelos de detección de fraude basados en ML y CV

BootCamp:
BOOTCAMP IA I (NOV 23)

Equipo:
THE BALLOON

Integrantes:

  • Angel Luis Ortega Amador
  • Carlos Molano Gómez
  • Juan Carlos Avalos
  • Otger Peidro Cid
  • Pedro Turiel Miranda

Descripción

En este repositorio se alojan los notebooks y archivos de python creados para el proyecto final del bootcamp.

Todos los archivos que se utilizan dentro de estos notebooks y/o ficheros python se deberían poder descargar desde internet, ya sea porque están alojados en algún repositorio público o en google drive.

A continuación se va a dejar enlaces a los archivos generados para los diferentes tópicos

Machine Learning

1 - FraudDetection_EDA
2 - FraudDetection_Pipeline
3 - FraudDetection_MLFlow

Computer Vision

1 - Fraude_CV_Embeddings
2 - Fraude_CV_Model

Despliegue

1 - functions
2 - drive_downloader
3 - main

Documentación

1 - Cuaderno de Bitácora
2 - Presentación

Para ver los "Experimients" generados en mlFlow se debe acceder a la siguiente dirección:
the balloon project

kc_proyecto_final's People

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