Explain the difference between Supervised and Unsupervised Learning through examples.
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Give an example of a data set that has a non-gaussian distribution?
What is t test?
Why data science and data scientists are needed?
State the difference between a validation set and a test set?
Can you cite some examples where a false positive is important than a false negative?
Define the unit test with PyUnit?
List out the libraries in python used for data analysis and scientific computations?
What is root Linear Regression analysis?
For linear regression, what are some of the assumptions a data scientist is most likely to make?
How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.
State some use cases where Hadoop MapReduce works well and where it does not.
How do you define data science?
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