$1.$ What is EDA? Perform an example of the same using any dataset we practiced$/$used during the lectures. Explain your EDA in detail. What is Data Profiling?

$2.$ Why is there always a need for data preprocessing? Explain $2$ differences between EDA, Data Preprocessing and Mining. What do you mean by data reduction &data discretization, explain in detail?

$3.$ What do you understand by clustering? Perform any $3$ methods of clustering techniques using a dataset of your choice $($you can use the one$$s learnt in the class$).$ Explain in detail how can one analyze the clusters in the techniques used by you. Explain why and how you achieved the correct number of clusters.

$4.$ What is Text mining and how NLP helps us$?$ What are the different stages in text mining, explain each with an example? What is Sentimental Analysis and how is NLP used within Sentimental Analysis, explain in a way you can deliver the right information to me$.$

$5.$ Use REGEX to solve the following questions:

String $=[$A$-$zzzzzzz$]\{1,2\}[0-9$R$]\{[0-9$A$-$Z$]?[0-9\_[$Ab$\_$c$-$H$\{$JABb$\_$cP$-$AB$-$Z$]\{2\}$

$$ Find the count of all the repeated letters, numbers.

$$ Find and get rid of all lower$-$case letters.

$$ Remove $\{$ brackets.

$$ Find sequences of letters AB or Ab$.$

$$ Write a Python program to find sequences of lowercase letters joined with a underscore.

$$ Remove all the special characters, brackets, punctuations to get just letters and words.

$$ Remove white spaces.