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How does data cleaning plays a vital role in analysis?
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Pick up a coin C1 given C1+C2 with probability of trials p (h1) =.7, p (h2) =.6 and doing 10 trials. And what is the probability that the given coin you picked is C1 given you have 7 heads and 3 tails?
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Define data reduction?
How and by what methods data visualizations can be effectively used?
What jupyter used?
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How can you decide if one algorithm is better than the other?
What is t test?
How does data cleaning plays a vital role in the analysis?
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