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Great to see you're back. Very interesting series so far - I have learnt a lot from you. Thanks a bunch!
For checking the cutoff value for total amount we can use np.percentile(). It is a nice option quickly find a cutoff value.
fell in love with this channel. very good atmosphere
Thanks!
Thank you Greg!
Explained Amazing !!!
Ma'am, could you please elaborate on your preference for utilising a histogram? Are histograms the primary visualisation method required for data exploration, or are there alternative plots we should consider?
Are there any variables that show unexpected distributions or patterns that could suggest data issues?
Great to see you're back. Very interesting series so far - I have learnt a lot from you. Thanks a bunch!
For checking the cutoff value for total amount we can use np.percentile(). It is a nice option quickly find a cutoff value.
fell in love with this channel. very good atmosphere
Thanks!
Thank you Greg!
Explained Amazing !!!
Ma'am, could you please elaborate on your preference for utilising a histogram? Are histograms the primary visualisation method required for data exploration, or are there alternative plots we should consider?
Are there any variables that show unexpected distributions or patterns that could suggest data issues?