DjangoCon keynote preview: Django for Data Science

Join Will Vincent for a deep dive into training your own machine learning models and deploying them seamlessly with Django. We’ll also explore the rapidly evolving LLM landscape, breaking down how these models work under the hood and how Python developers can harness their power in real-world applications.

In this talk, we'll bridge the gap between data science and web development by demonstrating how to deploy a machine learning model using Django. Starting with the classic Iris dataset, we'll walk through training a classification model with scikit-learn, covering key steps like data preprocessing, model selection, and evaluation.

Once the model is trained, we'll shift focus to Django, showcasing how to integrate the model into a web application that allows users to input flower measurements and receive real-time predictions of the Iris species.

You'll learn how to take a data science project from a Jupyter notebook to a fully functional Django web app in just a few steps. Whether you're a data scientist interested in web deployment or a Django developer exploring machine learning, this talk will equip you with the tools to bring machine learning models into production-ready applications.

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This is a preview and rehearsal for a DjangoCon Europe keynote. We're lucky to get a sneak peek and help Will hone his presentation before the big event.