When do you need to update the algorithm in data science?
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Could you draw a comparison between overfitting and underfitting?
What is k-means?
What are Random Forests?
Discuss decision tree algorithm?
How will you deal with unbalanced data where the ratio of negative and positive is huge?
Name commonly used algorithms.
What is linear optimization?
Write the code to sort an array in numpy by the nth column?
How do you use lambda in python?
How is random forests different from decision trees?
How do you take millions of users with 100's of transactions each, amongst 10000's of products and group the users together in a meaningful segments?
How will you compare the results of various machine learning algorithms?
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