Skip to main content

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:

Review:

Recap key concepts.

Practise:

Time-series features for energy prediction.

Closing:

Key takeaways and next steps.

Today's learning objectives:

Create time-based features from raw timestamp data

to capture temporal patterns and improve predictive model performance.

Incorporate domain-specific contextual data

into feature engineering to enhance model relevance and accuracy.

Apply feature selection or dimensionality reduction techniques

to optimise model performance when working with a large number of engineered features.

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

PDF preview loads in your browser…

If it doesn’t appear, download it here.

In progress