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Annoyed with empty, NULL, or NA values? Confused as to what imputations are? Look no further! This is a comprehensive guide in understanding what imputations are and how to apply them!
Questions? Let me know down in the comments below!
R "mice" package documentation
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Additional instructional material
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Forgot what KNN's are?
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What are Neural Networks again?
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Github:
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0:00 - What is Imputation?
0:29 - Mean Median Imputation Pro's and Con's
2:02 - Additional imputation methods
3:13 - Steps for MICE
5:05 - Code setup, understanding data
7:05 - Mean and median imputation
7:42 - MICE Implementation
13:40 - Extracting Imputated data (by specific feature)
15:32 - Using ALL Imputed data + Interpretation
17:37 - Additional Steps
![](https://i.ytimg.com/vi/MpnxwNXGV-E/maxresdefault.jpg)