Machine Learning End to End: Train with Scikit-Learn, Track with MLflow, Explain with LLMs

About this session: Building a machine learning model is only half the job — the real challenge is making it reproducible, trackable, and explainable. In this hands-on masterclass, we'll walk through a complete ML workflow: training a model with Scikit-Learn, tracking experiments and versions with MLflow, and using LLMs to generate plain-language explanations of model behaviour and predictions.Whether you're a beginner exploring the ML pipeline for the first time or a practitioner looking to tighten up your workflow, this session will give you a practical, end-to-end blueprint you can apply immediately.What you'll learn:Who should attend: Aspiring data scientists, ML enthusiasts, and tech professionals looking to build practical, production-aware ML skills.Facilitator: Bonface Manyara — Data Science Technical Mentor at Moringa SchoolFormat: Live Zoom Webinar (link shared upon registration)