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Python SDK Guides
Fake Detection

Fake Detection

Algorithm
Classifier
Use Cases
Fake Profile Detection, Fraud Detection, Strange Behaviour Detection

Prerequisites

Before you reach this stage, ensure you’ve:
  1. Created a schema
  1. Integrated code to process your data and installed Begin’s Python SDK
  1. Created a project with the objective “Fake Detection”
Learning usually takes about 30 minutes. Once complete, your machine learning algorithm is ready to be used on your mobile device, browser, connected vehicles, or server applications.

Procedure

In order to fetch recommendations, follow the initialization step:

import beginai as bg

worker = bg.BeginWorker(app_id=APP_ID, license_key=LICENSE_KEY)
 
To use your trained algorithm, input the following code:

worker.fake_detect(project uuid, object_id or user_id)
This will return the confidence score to which a user/object is fake
 
If you performed the initial processing in Python, you can still use the algorithm with other SDKs like Android or iOS SDKs.
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Note: Begin’s algorithms can learn continuously with additional user data while your code is deployed. Your project can learn from datasets on your mobile application, server or other applications without you having to worry about merging the learning or merging the data. Begin will take care of merging the learning.