1. What to do if you have 2 variables in a Linear Regression model with high multicollinearity ? How do you decide which one to remove from the model?

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  2. Differentiate between high bias and high variance

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  3. Amazon Interview Question | What percentage of value lies between Mean and one Standard deviation(both positive and negative)

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  4. How much does a beggar in Bangalore makes in an year?

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  5. How much does a beggar in Bangalore makes in an year?

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  6. Define Confidence interval in a very layman manner with example

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  7. Is set an indexed and ordered data type? If not then how do you actually access data from a set?

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  8. Every t-value has a p-value, explain.

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  9. Calculate the cumulative multiplication

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  10. You want to buy a restaurant in Gurgaon, you have the sales data of last 6 months but you do not have any survey. How would you come up with a price for this restaurant

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