When underfitting occurs in a static model?
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Implement a sorting algorithm for a numerical dataset in Python.
How have you overcome a barrier to finding a solution?
Define naive bayes?
Is it possible to perform logistic regression with Microsoft Excel?
Different between overfitting and underfitting?
How can you build and test a metric to compare ranked list of TV shows or Movies for two Netflix users?
What motivates you to transition from academia to data science?
A test has a true positive rate of 100% and a false-positive rate of 5%. There is a population with a 1/1000 rate of having the condition the test identifies. Considering a positive test, what is the probability of having that condition?
How does data cleaning plays a vital role in analysis?
You created a predictive model of a quantitative outcome variable using multiple regressions. What are the steps you would follow to validate the model?
How to understand the problems faced during data analysis?
Can you cite some examples where a false positive is important than a false negative?
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