I have a age feature with missing data.How can I handle this missing data.I dont want the mean of the age.Can anyone help me with this?
Age
22.0
38.0
26.0
35.0
35.0
NaN
45
67
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Anesh
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Please give us examples and some of your code to help. [how to ask](https://stackoverflow.com/help/how-to-ask) – LenglBoy Mar 26 '18 at 07:43
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Yes I edited.Its a classfication problem – Anesh Mar 26 '18 at 07:47
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@Anesh - It seems need [Pandas: filling missing values by mean in each group](https://stackoverflow.com/q/19966018), but without data, expected output hard to know... – jezrael Mar 26 '18 at 07:49
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Its a titanic dataset from kaggle.Iam new to kaggle.Iam trying my first one.I cleaned up some of the attributes.Now Iam stuck up with this age feature. – Anesh Mar 26 '18 at 07:53
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check dupe answer with titanic dataset – jezrael Mar 26 '18 at 08:01
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Iam sorry whats dupe?? – Anesh Mar 26 '18 at 08:11
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You can find some solutions in https://www.kaggle.com/dansbecker/handling-missing-values – rouhollah ghasempour Mar 27 '18 at 04:06