Explain the steps for a data analytics project
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Different between overfitting and underfitting?
Does the data scientist need to know programming?
Where linear optimization is used?
What do you understand by confusion matrix?
What are the applications of data science?
Explain how to operate on file and directory?
How many sorting algorithms are available?
Are the expected value and mean value different?
What is the difference between supervised and unsupervised methods?
Could you draw a comparison between overfitting and underfitting?
What is t test?
I have a string “contact@dezyre.com”. Which string function can be used to split the string into two different strings “contact@dezyre” and “com” ?
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