Assigment-1
Expectations:-
1) Do missing value treatment and duplicate values treatment. Explore options that we have
discussed in class(check the template notebook that I discuss in the class) in your notebook
and highlight the one you finally selected and reasons behind the same.
2) Do outlier treatment.
3) Do feature encoding
4) Do feature scaling if necessary.
Pointers :-
1) You must share one single notebook with all analysis. Use markdown cells if you want to
write analysis.
2) Include boxplots, KDE plots, histograms wherever necessary in your analysis.
3) Plagiarism is strict prohibited.
4) Try to share clean notebooks, you can try multiple approaches but in the final version keep
the one you selected obviously with reasons why you went with that.
5) Share the notebook with me on WhatsApp or at [email protected]om
6) Deadline is 11 Aug – 09.30 AM morning.
