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Leveraging Data Mining Algorithms (in Python) to Learn Characteristics of Returning Users and Power Users

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dataMiningOfGoogleAnalyticsData

Leveraging Data Mining Algorithms (in Python) to Learn Characteristics of Returning Users and Power Users.

This repository consists of my analysis of an organization's google analytics data using a machine learning approach. I have leveraged various data mining classification algorithms including SVM, Random Forest, Naive Bayes and others to understand characteristics of the organization's returning users and power users.

Note: Please download the html file in order to view the source code, results and visualizations in a jupyter notebook format. Refer the powerpoint presentation to get an understanding of the analysis.

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Leveraging Data Mining Algorithms (in Python) to Learn Characteristics of Returning Users and Power Users

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