Skip to content

A data science project of the Information and Data Analytics Foundation (IDAF) for a targetted advertising firm to forcast the likelihood that a customer will click on an ads sent to increase the Click Through Rate (CTR) of campaigns. This was achieved by analysis and training of a machine learning algorithm on customers' historical data.

Notifications You must be signed in to change notification settings

ByteWrite/targetted_ad_project

 
 

Repository files navigation

A data science project of the Information and Data Analytics Foundation (IDAF) for a targetted advertising firm, to build a predictive model to forcast the likelihood that a customer will click on an ad sent to them. The aim eventually, is to increase the Click Through Rate (CTR) of campaigns. This was achieved by analysis and training a machine learning algorithm on customers' historical data for personalised ad targeting. The model was also deployed to docker and Amazon web services. ok

About

A data science project of the Information and Data Analytics Foundation (IDAF) for a targetted advertising firm to forcast the likelihood that a customer will click on an ads sent to increase the Click Through Rate (CTR) of campaigns. This was achieved by analysis and training of a machine learning algorithm on customers' historical data.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 99.4%
  • Other 0.6%