Outlier & Missing Value Treatment Hands-on 

In our earlier videos we have covered the theory related to common issues with any dataset and we also discussed the right sequence to treat these issues. The real action begins in this video as we perform proper data treatment in Python.
We have emphasized that column level treatment for outliers and missing values isn’t the best approach, therefore, here we will explore the other not so common but indeed powerful approaches to treat these issues while preparing our data.
Link to access the notebook:
colab.research...
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Happy Learning!