What do you mean by graphics devices in data visualization?
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what is json and what is xml?
Can you explain the difference between a validation set and a test set?
Treating a categorical variable as a continuous variable would result in a better predictive model?
How do you treat missing values during analysis?
What is difference between sas, r and python programming?
What is the role of activation function?
What are the feature vectors?
How can you decide if one algorithm is better than the other?
What do you understand by the selection bias?
Why data cleaning plays a vital role in analysis?
What is meant by binomial distribution?
Why is Python used in data science?
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