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Detecting Anomalous Transactions

IntermediateSkill Level
4.9+
11 reviews
Updated 01/2025
Dive into the world of banking transactions to uncover hidden anomalies and protect customer confidence. Ready to take on the challenge?
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PythonProbability & Statistics1 hour1 Task1,500 XP

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Project Description

Detecting Anomalous Transactions

Fraud can cost more than money — it can cost trust. Dive into the world of banking transactions to uncover hidden anomalies, flag suspicious activities, and protect customer confidence. Your insights will make an impact by maintaining security and safeguarding trust. Ready to take on the challenge?

Detecting Anomalous Transactions

Dive into the world of banking transactions to uncover hidden anomalies and protect customer confidence. Ready to take on the challenge?
Start Project for Free
  • 1

    Task 1

Don’t just take our word for it

*4.9
from 11 reviews
91%
9%
0%
0%
0%
  • Jechonias Axel
    3 days

    Project portrays a real-life scenario. Dataset is very good for practice. Instructions could be made clearer, though. Like how we should use the variable name "model" for our outlier detector.

  • Hector
    17 days

  • Àngel
    27 days

  • Roozbeh
    about 1 month

  • Konstantinos
    about 1 month

  • Damiano
    28 days

    A bit of inconsistency between conventions and instructions

"Project portrays a real-life scenario. Dataset is very good for practice. Instructions could be made clearer, though. Like how we should use the variable name "model" for our outlier detector."

Jechonias Axel

Hector

Àngel

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