You have been given the data on Facebook user's friending or defriending each other. How will you determine whether a given pair of Facebook users are friends or not?
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Why data cleaning plays a vital role in analysis?
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.
What is k-means?
What is reinforcement learning?
What are you employed pip?
What is logistic regression? Or state an example when you have used logistic regression recently?
Differentiate between skewed and uniform distribution?
Burn two ropes, one needs 60 minutes of time to burn and the other needs 30 minutes of time. How will you achieve this in 45 minutes of time ?
How do you overcome challenges to your findings?
How can you iterate over a list and also retrieve element indices at the same time?
Explain data cleansing?
Can you explain k-mean?
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