A gentle and short guide to solve a real-world business problem with machine learning and applying MLOps to integrate the solution with business operations and scaleup the results.
In this repository we will analyze Telco Customer Churn Dataset from Kaggle and explore business oportunities to reduce churn customer and for consequence increase retention.
What you'll learn here:
- Problem Framing: Important business aspects of churn prediction
- Data Preparation
- Model Training and Evaluate Results: A step-by-step of how using machine learning to predict churn customers
- MLOps: The path of integrate machine learning with business operations and scale your results