Why data cleaning plays a vital role in the analysis?
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What is the difference between a cluster and systematic sampling?
Does the data scientist need to know programming?
Can you provide an example of features extraction?
What is meant by classical ANOVA?
Explain how can you assess a good logistic model?
What do you understand by the lattice package?
Which database is best for data science?
How to understand the problems faced during data analysis?
Python is enough for data science ?
How will you decide whether a customer will buy a product today or not given the income of the customer, location where the customer lives, profession and gender? Define a machine learning algorithm for this.
How do data scientists use statistics?
Could you draw a comparison between overfitting and underfitting?
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