Among python and r, which one is generally preferred for text analytics?
What is back propagation and explain it’s working.
Explain OLS in brief?
What is the central limit theorem?
How long does it take to become a data scientist?
Can you explain supervised learning?
What is logistic regression in data science?
How can you decide if one algorithm is better than the other?
while working on a data set, how can you select important variables? Explain
A jar has 1000 coins, of which 999 are fair and 1 is double headed. Pick a coin at random, and toss it 10 times. Given that you see 10 heads, what is the probability that the next toss of that coin is also a head?
Which machine learning algorithm will you use to solve a Uber driver accepting request?
What is the best programming language to use in data science?
Why is data munging useful?
How will you overcome overfitting in predictive models?
Can you cite some examples where a false positive is important than a false negative?
