Academic Project - Analysis of a Dataset of 10,000 shopping-records to predict customer purchasing patterns over a period of time, as well as answer a few ad-hoc queries.
Performed data cleaning and analysis, as well as building of supervised and unsupervised machine models to use in predicting and segmenting (respectively) customer behaviors from the dataset.
Each project-folder contains a Jupyter notebook with python-code and analysis, as well as the accompanying dataset that was analyzed. Execution of any of the project, requires installation of Jupyter/IPython notebook. Installation details for Jupyter Notebook can be found here.