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What do you understand by the term Normal Distribution? - CORRECT ANSWER-Data is usually
distributed in different ways with a bias to the left or to the right or it can all be jumbled up.
However, there are chances that data is distributed around a central value without any bias to
the left or right and reaches normal distribution in the form of a bell-shaped curve.
What is the goal of A/B Testing? - CORRECT ANSWER-It is a statistical hypothesis testing for
randomized experiment with two variables A and B.
The goal of A/B Testing is to identify any changes to the web page to maximize or increase the
outcome of an interest.
What do you understand by statistical power of sensitivity and how do you calculate it? -
CORRECT ANSWER-It validates the accuracy of a classifier (Logistic, SVM, Random Forest etc.).
, What are the differences between overfitting and underfitting? - CORRECT ANSWER-A statistical
model describes random error or noise instead of the underlying relationship. It occurs when a
model is overly complex, such as having too many parameters relative to the number of
observations. A model that has been overfit has poor predictive performance, as it overreacts to
minor fluctuations in the training data.
A statistical model or machine learning algorithm cannot capture the underlying trend of the
data. It would occur, for example, when fitting a linear model to non-linear data. Such a model
too would have poor predictive performance.
Python or R - Which one would you prefer for text analytics? - CORRECT ANSWER-We will prefer
Python because of the following reasons:
Python would be the best option because it has Pandas library that provides easy to use data
structures and high-performance data analysis tools.
R is more suitable for machine learning than just text analysis.
Python performs faster for all types of text analytics.
What is the difference between a tuple and a list in Python? - CORRECT ANSWER-List is mutable
and tuples is immutable.
The main difference between mutable and immutable is memory usage when you are trying to
append an item. When you create a variable, some fixed memory is assigned to the variable.
If it is a list, more memory is assigned than actually used.
How does data cleaning play a vital role in analysis? - CORRECT ANSWER-Data cleaning can help
in analysis because: