subnil / predict-ad-clicks Goto Github PK

Tools use: R, Source : hackerearth Machine Learning Challenge Problem Statement A leading affiliate network company from Europe wants to leverage machine learning to improve (optimise) their conversion rates and eventually their topline. Their network is spread across multiple countries in europe such as Portugal, Germany, France, Austria, Switzerland etc. Affiliate network is a form of online marketing channel where an intermediary promotes products / services and earns commission based on conversions (click or sign up). The benefit companies sees in using such affiliate channels is that, they are able to reach to audience which doesn’t exist in their marketing reach. The company wants to improve their CPC (cost per click) performance. A future insight about an ad performance will give them enough headstart to make changes (if necessary) in their upcoming CPC campaigns. In this challenge, you have to predict the probability whether an ad will get clicked or not. Approach: Exploratory Data analysis followed by clustering and logistic regression