In this hands-on webinar, we will explore how neural networks can be used to predict customer churn in subscription-based businesses. The session will walk you through collecting and preprocessing customer data, training and evaluating a model, and understanding how to integrate it into existing systems for real-time churn prediction. Along the way, we’ll also cover key neural network concepts, practical deployment strategies, and conclude with a Q&A to address your questions.
Agenda for the session
- Collect and preprocess customer data for churn analysis
- Train and evaluate a neural network model for predictions
- Explore deployment strategies for real-time churn detection
- Learn neural network basics and join the interactive Q&A
About Speakers
Mr. Vinicio De Sola
Senior AI Engineer - Newmark
- Specialises 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
