Answer / Jitendra Raj

Random Forest Classifier is a popular machine learning algorithm used for both classification and regression tasks. It operates by constructing multiple decision trees during training and outputting the class that is the mode of the classes (classification) or the mean prediction (regression) of all individual trees.

What do you understand by type I vs type ii error?

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Define a sql query? What is the difference between select and update query? How do you use sql in sas, python, r languages?

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What is data science? Also, list the differences between supervised and unsupervised learning.

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What is reinforcement learning?

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Create a program in a language of your choice to read a text file with various tweets. The output should be 2 text files-one that contains the list of all unique words among all tweets along with the count for repeated words and the second file should contain the medium number of unique words for all tweets.

1 Answers   Insight,

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Can you cite some examples where a false positive is important than a false negative?

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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?

1 Answers   Facebook,

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What is clustering? What is the difference between kmeans clustering and hierarchical clustering?

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Can you explain difference between data modeling and database design?

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Explain k-mean?

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Suppose that American Express has 1 million card members along with their transaction details. They also have 10,000 restaurants and 1000 food coupons. Suggest a method which can be used to pass the food coupons to users given that some users have already received the food coupons so far.

1 Answers   American Express,

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Why do we need generators in Python?

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