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Monitoring A Financial Fraud Detection Model

AdvancedSkill Level
4.8+
70 reviews
Updated 04/2024
Help the bank monitoring their fraud detection model and figuring out why it's not performing as expected.
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PythonMachine Learning1 hr1 Task1,500 XP2,943

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Project Description

Monitoring A Financial Fraud Detection Model

Banks are where we safely store and invest money, and they depend on machine learning models to fight fraud every day. However, these models are not perfect and can sometimes fail, putting customers' money at risk.In this project, you'll be acting as a post-deployment data scientist, helping a major UK bank. You'll be keeping an eye on how their fraud detection model has been doing over time and figuring out why it's not working as it should.

Monitoring A Financial Fraud Detection Model

Help the bank monitoring their fraud detection model and figuring out why it's not performing as expected.
Start Project
  • 1

    Monitoring a Financial Fraud Detection Model

Don’t just take our word for it

*4.8
from 70 reviews
87%
13%
0%
0%
0%
  • Andre Neil
    last week

  • Praveen
    3 weeks ago

  • CAPARRO
    5 weeks ago

  • Venkata Nikhil
    5 weeks ago

  • Rajesh
    5 weeks ago

    This project was challenging, especially identifying the months with performance alerts and understanding feature drift. It really pushed me to think carefully about data analysis and model monitoring. I was able to complete it successfully with the help of my old notes, which guided me through the steps and clarified tricky parts. I would recommend this project to other learners who want to strengthen their practical skills in model evaluation, performance monitoring, and using tools like NannyML. It’s a great way to apply theory to real-world datasets.

  • Nelli
    2 months ago

Andre Neil

Praveen

CAPARRO

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