What do you understand by clustering?
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What skills do I need to be a data scientist?
What do you understand by type I vs type ii error?
How is data science different from data analytics?
What is meant by feature vectors?
How would you create a taxonomy to identify key customer trends in unstructured data?
How do you use sql in sas, python, r languages?
Treating a categorical variable as a continuous variable would result in a better predictive model?
In k-means or knn, we use euclidean distance to calculate the distance between nearest neighbors. Why not manhattan distance?
What is an rdbms? Name some examples for rdbms? What is crud?
Explain survivorship bias?
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.
How is data modeling different from database design?