Define data reduction?
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Do you prefer python or r for text analytics?
How do you treat colinearity?
How will you overcome overfitting in predictive models?
What prior knowledge is required to become data scientist?
What are the steps involved in analytics projects?
What is data science? How would you say it is similar or different to business analytics and business intelligence?
What do you understand by ensemble learning?
What is the common perception of visualization?
Explain why data cleansing is essential and which method you use to maintain clean data?
Can you cite some examples where both false positive and false negatives are equally important?
How does data cleaning plays a vital role in analysis?
What is selection bias and why does it matter?