Data Mining

Analyse the Bank Marketing data set (available from the UCI Machine Learning Repository - http://archive.ics.uci.edu/ml/datasets/Bank+Marketing) to explore the different factors that affect the success of a particular marketing campaign. The aim is to identify which attribute or combination of attributes and which algorithm has the highest accuracy in identifying customers who will subscribe to the new product. Once you have completed this, write a report to describe in detail the analyses you have performed. The report should include: • A data set description in terms of the attributes present in the data, the number of instances, missing values, and other relevant characteristics. • A detailed description of the pre-processing of the data. • Evidence that you have investigated the data using multiple analysis methods. • An explanation of the selected algorithm. • A discussion of any pre or post processing done to improve the accuracy of your analysis. • A business recommendation based upon your analysis. The report should be no more than 2500 words long and should include such graphics as are appropriate to illustrate the answers. Can you please find the attached file provides an example of how to document an exploration of a dataset. NOTE: This shows research [login to view URL] should look at the ordering and content of the sections rather than try to replicate this document. thank you