Kevin Goetsch | Deploying Machine Learning using sklearn pipelines
PyData Chicago 2016
Sklearn pipeline objects provide an framework that simplifies the lifecycle of data science models. This talk will cover the how and why of encoding feature engineering, estimators, and model ensembles in a single deployable object. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
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Видео Kevin Goetsch | Deploying Machine Learning using sklearn pipelines канала PyData
Sklearn pipeline objects provide an framework that simplifies the lifecycle of data science models. This talk will cover the how and why of encoding feature engineering, estimators, and model ensembles in a single deployable object. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
Видео Kevin Goetsch | Deploying Machine Learning using sklearn pipelines канала PyData
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