What do you understand by linear regression and logistic regression?
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What is data science? Also, list the differences between supervised and unsupervised learning.
You are about to get on a plane to Seattle, you want to know whether you have to bring an umbrella or not. You call three of your random friends and as each one of them if it's raining. The probability that your friend is telling the truth is 2/3 and the probability that they are playing a prank on you by lying is 1/3. If all 3 of them tell that it is raining, then what is the probability that it is actually raining in Seattle.
How would churn help predict and control churn for a customer?
What is the jupyter center ?
What do you understand by Poisson distribution?
Can you explain supervised learning?
What is data science? How would you say it is similar or different to business analytics and business intelligence?
What are eigenvalue and eigenvector?
What are you employed pip?
What are the different deep learning frameworks?
How can you produce co-relations and covariances?
Define the term cross-validation
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