Designing and developing machine learning models and AB testing experiments to reduce disengaged users in FinTech
Part I:
- Defining engagement
- Predicting engagement (data pipeline, feature extraction, and model training using pySpark and Scikit-Learn)
- Model evaluation
Part II:
4. Designing intervention (contextual recommender system using ALS)
5. Designing A/B Testing
6. Evaluating and interpreting the results
Article published in: https://towardsdatascience.com/defining-predicting-and-preventing-disengaged-users-in-fintech-30dcb3bc0460
Singapore, May 2021