Using Hierarchical and Density based Clustering to determine consumer spending behaviour. so we can get information on how to run target advertisement.

Consumer-Behaviour.ipynb : project file with codes.

Consumer-Buying-Behaviour.png : the image above.

Readme.md : This readme file

customers.csv: the comma seperated value file containg the data for this project.

From this project the clusters of 5 properly distiguished our customers to include:

1. People who are earning less but spending more (low income earners but big spenders)

2. People who are earning less and spending less.

3. People who are earning more and spending less

4. People who are also earning more and spending more(big earners and also big spenders)

5. People who earn on the average and are spending on the average as well

Advertisers or marketing department can use this project in determining how to target their advert and marketing pitches for bumper sales.

konw what the customers are looking for and who they are to determine the kind of advert that appeals to them and create such ads.

That is not hard to do right?

This project was inspired by the DSDJ program