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(Note: This is a crosspost of https://www.meetup.com/python-plus-data-science/events/267626147/ , please sign up there so we can maintain an accurate headcount!)
Topic: Methods for Dealing with Missing Data in Python & R
Like many other aspects of data science, there is a fair amount of art & skill involved with how to deal with missing data. I'll explore some introductory techniques & packages in Python & R to help you move beyond simply dropping missing observations or imputing the mean or median from columns with missing data.
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About the Speaker
Sean Reed
Sean is a Senior Data Scientist at Galvanize where he mentors & trains students to become data analysts & data scientists.
LinkedIn: https://www.linkedin.com/in/seanreed1/
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