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Prevent Fraudulent Click Rates in App with K-Means clustering, implemented in Python

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ClusterFraud

made-with-python PRs Welcome GitHub
ForTheBadge built-with-love

Features

Includes :

  • Prevent Fraudulent Click Rates in App with K-Means clustering, implemented in Python
  • Reads in data in csv format, clusters using k-means clustering algorithm
  • Implemented without use of kmeans library
  • Uses Google's FTRL stepping algorithm to better determine cluster amount for AdClick Prediction

How to Run

Edit this line to your own local/server address where your data is located.

fileInput = r"\Users\thatq\Desktop\ML\Work\test"

Navigate to file location on your local drive, run with

python testClustering.py

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Prevent Fraudulent Click Rates in App with K-Means clustering, implemented in Python

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