What do you understand by normal distribution?
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Will Uber cause city congestion?
How are confidence intervals constructed and how will you interpret them?
Pycharm has a debugger?
How can you iterate over a list and also retrieve element indices at the same time?
For linear regression, what are some of the assumptions a data scientist is most likely to make?
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?
Can you explain k-mean?
What is logistic regression? Or state an example when you have used logistic regression recently?
How and by what methods data visualizations can be effectively used?
What are limitations of DBSCAN?
What do you understand by type I vs type ii error?
What is linear optimization?
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