Explain Examples of Data Science?
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Which language is best for text analytics? R or python?
Explain principal components analysis with equations.
You are at a Casino. You have two dices to play with. You win $10 every time you roll a 5. If you play till you win and then stop, what is the expected pay-out?
Explain the method to collect and analyze data to use social media to predict the weather condition?
Which technique is used to predict categorical responses?
Define naive bayes?
Why is it mandatory to clean a data set?
Please explain gradient descent?
How can you decide if one algorithm is better than the other?
Explain box cox transformation?
What is the probability of pulling a different shape or a different colour card from a deck of 52 cards?
What education is required for data science role?
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