Python is enough for data science ?
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How does data cleaning plays a vital role in analysis?
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?
What is meant by Poisson regression?
Can you use machine learning for time series analysis?
What are various steps involved in an analytics project?
What are the different deep learning frameworks?
Can you provide an example of features extraction?
How do you handle missing values in python or r?
How do you overcome challenges to your findings?
Which language is best for data science?
Why data cleaning plays a vital role in analysis?
What are numpy, scipy, and spark essential datatypes?
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