Welcome to the workshop!
Welcome to Advanced Feature Engineering for Time-Series Data!

Today's icebreaker:
The worst prediction ever!
Predictions about the future don’t always go as planned. Can you think of a personal, historical or pop culture prediction that was completely wrong?
Share your best response in the chat!
Today's agenda:
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Review:
Recap key concepts.
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Practise:
Time-series features for energy prediction.
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Closing:
Key takeaways and next steps.
Today's learning objectives:
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Create time-based features from raw timestamp data
to capture temporal patterns and improve predictive model performance.
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Incorporate domain-specific contextual data
into feature engineering to enhance model relevance and accuracy.
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Apply feature selection or dimensionality reduction techniques
to optimise model performance when working with a large number of engineered features.
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Explain how engineered features would be maintained and monitored
in a production environment to ensure continued model performance.
Workshop slides
Preview or download a copy of the workshop 2 slides:
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In progress