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Data Science Project-TalkingData AdTracking Fraud Detection

Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
What are the prerequisites for this project?
  • R Software
  • R Studio

What will you learn

  • EDA
  • Modeling
  • Analysis
  • Implementation in R
  • Understanding the complexities​

Project Description

Fraud risk is everywhere, but for companies that advertise online, click fraud can happen at an overwhelming volume, resulting in misleading click data and wasted money. Ad channels can drive up costs by simply clicking on the ad at a large scale. With over 1 billion smart mobile devices in active use every month, China is the largest mobile market in the world and therefore suffers from huge volumes of fraudulent traffic. 

In this machine learning project, you will build a machine learning model to determine whether a click is fraud or not.

Instructors

 
Pradeepta

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Stay updated in technology trends by working on projects

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