In this hands-on webinar, we will tackle the challenge of predicting customer churn in subscription-based businesses using neural networks. Participants will learn how to collect and preprocess customer data, train a neural network model, and evaluate its performance. We'll also cover best practices for deploying the model into existing systems to deliver real-time churn predictions. The session includes an overview of neural network concepts and practical deployment strategies, followed by a Q&A.
Agenda for the session
- Predict customer churn in subscription businesses with neural networks
- Learn data collection and preprocessing techniques
- Train and evaluate a neural network model for churn prediction
- Explore deployment best practices and join a Q&A session
About Speakers
Mr. Vinicio De Sola
Senior Data Scientist - Aspen Capital
- Specializes in Machine Learning Techniques and redeveloping models to include automation
- Studied Cryptocurrencies and Smart Beta Factors in the space.
- Before switching to finance, was an entrepreneur in diverse areas like E-learning, E-commerce, and Engineering
- Mentor at Great Learning
