In the last week of March 2021, NorthGravity partnered with General Index to host a hands-on webinar on using Python for AI/ML in commodity trading. The session drew 100+ attendees from 20+ countries, underscoring strong interest in practical workflows that show how to get data into models and deploy results in a usable form.
The agenda walked through the full model lifecycle end-to-end. We started with getting set up in Python and moved into data access and feature engineering, showing how inputs are prepared before modeling. Next, we discussed target selection and continued with live coding in Jupyter Notebook, using well-known methods such as XGBoost and neural networks to illustrate typical modeling steps. From there, the session covered training, validation, and tuning, and concluded with a clear path for moving a model into production so outputs can support day-to-day work. A closing Q&A helped participants connect the sequence – from notebook to deployment – and clarify how each step relates to the next. The host captured the spirit of the day: “The future is here.”
Participants left with a sample notebook to start their own workflows and apply the material at their own pace. Based on the interest and engagement during the session, we plan a follow-up on the same topic to continue building skills around Python, data access, modeling, and productionization in commodity trading.
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