Which one would you prefer for text analytics python or r?
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What is machine learning and how can it be used for time series analysis?
Differentiate between supervised and unsupervised learning?
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?
What is underfitting?
What devices or tools help you most as a data scientist?
What is cart and chaid?
How will you drop variables using indices in a data frame?
How will you check if an element 25 is present in a vector?
How do data scientists code in r?
What does a data scientist do?
How and by what methods data visualizations can be effectively used?
Explain the difference between a test set and a validation set?
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