1. Define ROC in layman terms

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  2. What makes Ridge Regression different from Linear Regression?

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  3. What is the best fit line in Linear Regression?

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  4. Define Loss function in the simplest way possible

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  5. What is the need to remove multicolinearity ?

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  6. Define R squared error in simple terms

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  7. What are the metrics to measure the performance of your Linear Regression model? Most asked question

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  8. What is better ? A low R squared or a high R squared?

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  9. How does the value of R squared and adjusted R Squared error change when you add new variable in your model?

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