Process Mining and Big Data. How to quickly find user churn points
Master class plan:
- graph theory in the analysis of user behavior logs
- modern libraries for analyzing user behavior processes based on logs, pros and cons in the benchmark
- practical cases of analyzing user behavior and the effect for business
- answers on questions
Requirements:
- github registration
- add Alexander Tolmachev's account to subscribers
- knowledge of probability theory at least some, the ability to analyze data, the ability to write in python
- install libraries: pm4py, collections, pandas, numpy, IPython, dateutil, sklearn, plotly, ipywidgets