What is the importance of data cleaning in analysis?
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Explain data munging or data wrangling?
You own a clothing enterprise and want to improve your place in the market. How will you do it from the ground level ?
You have a bag with 6 marbles. One marble is white. You reach the bag 100 times. After taking out a marble, it is placed back in the bag. What is the probability of drawing a white marble at least once?
What do you understand by parametric and non-parametric methods? Explain with examples.
What functions are required to principal analysis in R?
Define some key performance indicators for the product
What is churn? How would it help predict and control churn for a customer?
Can you write the formula to calculate r-square?
What is the central limit theorem and why is it important?
What is meant by supervised and unsupervised learning in data?
What are the types of business decisions?
What are iterators in Python?
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