/AD-CLICK-PROBABILITY-PREDICTION

ONLINE ADVERTISEMENTS: Determining the audience type/individuals most likely to click on ads on an online blog and the frequency of visits.

MIT LicenseMIT

IPWK12-CORE

Assessment

Research Question

A Kenyan entrepreneur has created an online cryptography course and would want to advertise it on her blog. She currently targets audiences originating from various countries. In the past, she ran ads to advertise a related course on the same blog and collected data in the process. She would now like to employ your services as a Data Science Consultant to help her identify which individuals are most likely to click on her ads.

  • R Fundamentals: Perform data cleaning and exploratory data analysis effectively in R.

In order to work on the above problem, you need to do the following:

Define the question, the metric for success, the context, experimental design taken and the appropriateness of the available data to answer the given question. Find and deal with outliers, anomalies, and missing data within the dataset. Perform univariate and bivariate analysis. From your insights provide a conclusion and recommendation.

NB: Your final deliverable will be either an markdown document, which will comprise the above sections;

The dataset for this Independent project can be found here [http://bit.ly/IPAdvertisingData].

License

MIT