Cathy Deng | Machine learning techniques for data cleaning
1,470 views · Published 23 September 2016 · 23:36 · Indexed 30 October 2026
Channel: PyData · 2016 · Science & Technology
PyData Chicago 2016 Slides: https://docs.google.com/presentation/d/1k42esoWoc_WezfPfQ5vxbHTsuFOvAshEusD-GFCElTQ/edit#slide=id.g166bf446d8_1_12 Often, the most interesting datasets - data about people and organizations - are the messiest and most difficult to analyze. When data comes from multiple sources, or when data is entered manually, variation & ambiguity are inevitable. Learn about ways to infer structure and relationships in messy data, using open source Python libraries. 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
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