while working on a data set, how can you select important variables? Explain
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How to check the frequency distribution of a categorical variable?
How will you handle missing data ?
Name three types of biases that can occur during sampling?
Python is enough for data science ?
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 cluster sampling in data science?
What is the travelling salesman problem?
You have two tables-the first table has data about the users and their friends, the second table has data about the users and the pages they have liked. Write an SQL query to make recommendations using pages that your friends liked. The query result should not recommend the pages that have already been liked by a user.
What is an outlier? How do you treat outlier data?
What are the various classification algorithms?
How will you overcome overfitting in predictive models?
Explain how to operate on file and directory?