IDPogolovkin / Forecasting-and-Classification-Data-Factory

In first project: revenue prediction for two product categories with the best results on the first income using the ETNA library and in the second income using the Holt Winters method. In Second project: clients classification on potentially ready for churn and not.

classification etna forecasting holt-winters-forecasting preprocessing random-forest

This repository is not active

About

In first project: revenue prediction for two product categories with the best results on the first income using the ETNA library and in the second income using the Holt Winters method. In Second project: clients classification on potentially ready for churn and not.

classification etna forecasting holt-winters-forecasting preprocessing random-forest

Languages

Language:Jupyter Notebook 100.0%