User Revenue Prediction

This repo provides different experiments for building a model for user revenue prediction.

To set up the environment (in case if you want to follow all the steps) just run this command:

pip install -r requirements.txt

Quick overview of folders and files:

• main.ipynb file contains all necessary information about analyzing the input dataframe and building final model;
• user_revenue_prediction.ipynb file contains information about how to use final model for user revenue prediction on new data;
• logs folder contains all necessary log files;
• data folder contains all necessary data files;
• pictures folder contains all necessary pictures files;
• utils folder contains all necessary script files;
• models folder contains all models files.