Practically Reflecting Ideas to Computation

This repository contains sample exercises, employing data transformations and simulations to answer random questions using python and julia programming languages.

1. Simple economy wealth redistribution: 'equal' vs. 'random'
   
2. Retention analysis - application in UK's online retail data using python + Apache Spark
   
3. Predictive model exercise - application of Decision Forest model using wine quality data
4. Churn model - handling the imbalance data and explanable model for actionable insights
5. Betting Simulation - Martingale Betting System