Automated Feature Engineering and Selection in Python

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Speaker: Franziska Horn

Track:PyData
Careful feature engineering and selection can be just as important as choosing the right ML model & hyperparameters. I will present several options for automating the feature engineering and selection process with a focus on the autofeat library.

Recorded at the PyConDE & PyData Berlin 2019 conference.

00:10 Help us add time stamps or captions to this video! See the description for details.

  1. PyData
  2. Data Science
  3. Python
  4. Machine Learning
  5. Science
  6. Data Engineering
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Комментарии
Автор

12:00 minutes, can you explain why that particular feature is important ? from the graph I can only make this assumption that they are not overlapping that's why but I want know how did you reach to that conclusion whether that certain feature is important or not ? Please someone explain this .

AMITPRATAP
Автор

Thanks for the lecture, but have to work on "yeah" part every 10 sec.

peregudovoleg