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Welcome to the workshop!

Workshop
In Progress

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:

Module 4 Workshop 2 — Advanced Feature Engineering for Time-Series DataDownload

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In progress