Welcome to the workshop!
Workshop
In ProgressWelcome to Feature Engineering Fundamentals in Practice!
Today's icebreaker:
Find the link!
What do these images have in common, and how does this relate to feature engineering?
Share your thoughts in the chat!
Today's agenda:
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Review:
Recap key concepts.
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Practise:
Feature engineering for churn prediction.
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Closing:
Key takeaways and next steps.
Today's learning objectives:
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Identify basic data quality issues
in a real-world dataset and apply appropriate data cleaning techniques to address them.
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Apply encoding techniques
to convert categorical variables into model-ready features.
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Create new features
that represent customer tenure segments, service usage levels and spend patterns to capture domain-specific insights.
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Evaluate the impact of engineered features
on machine learning model performance and interpretability.
Workshop slides
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In progress