Python for Data Science - Feature Engineering: Overview

YouTube Excerpt: This first video on feature engineering covers basic questions like 'What are features' and 'What is feature engineering?'. As always, code is posted in the Python for Data Science repository on GitHub: https://github.com/bryancshepherd/PyDS Comments help make the videos better. Let me know what you like or don't like. Notes: What are 'features'? - Simply observations in data: a.k.a. variables, series, columns What is 'feature engineering'? - Generating new or updated features based on current data - Sometimes referred to as 'mapping', 'recoding', 'data munging', or 'data manipulation' - Is a critical (and time consuming) part of the analytic process Reasons for creating/editing features: There are many reasons you might want or need to do feature engineering. E.g., to: - fix data issues - prepare data for a specific algorithm - make data more human-readable - create a different data construct

This first video on feature engineering covers basic questions like 'What are features' and 'What is feature engineering?'. As always, code is...

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