Constructing Models to Deal with Missing Data | SciPy 2016 | Deborah Hanus

[@enthought]

See the complete SciPy 2016 Conference talk & tutorial playlist here: kzbin.info/aero/PLYx7XA2nY5Gf37zYZMw6OqGFRPjB1jCy6

[@ЮлияМузыченко-х5п]

Thank you for the lecture, could you kindly reccomend what to read on developing dynamic models for longitudinal data with missing values?

[@daphnes1001]

Thank you, this was very helpful to understand the types of missing data and how to deal !

[@tesfahun_taddege]

Very Interesting, both the presentation and the questions were Helpful ! Thank you!

[@BigBadBurrow]

I might be missing something, but if you have sets of data where some of it is missing, but you have other data sets where it exists / is complete, then why not train a network with the data you have where it's complete, in order to predict the data where it's not? i.e. a machine learning solution to a machine learning problem.

[@ServetEdu]

Thank you! This is awesome. Good questions too.

[@AbdulhakemSAzis]

Hi to my classmates from IBA101Hh.

[@user-yn6te7or9s]

Hi mam , i am also a Ph.D student doing in agricultural statistics in IASRI. I need to know building models for missing data. Can you send me your mail id. Because I need some help from you mam.