What are recommender systems?
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How to understand the problems faced during data analysis?
List the differences between supervised and unsupervised learning.
Explain the importance of 80/20 rule in model validation?
Can you explain k-mean?
What is the travelling salesman problem?
What are big data and data science?
There are 8 identical balls and only one of the ball is slightly heavier than the others. You are given a balance scale to find the heavier ball. What is the least number of times you have to use the balance scale to find the heavier ball?
What is the 80/20 rule? Explain its importance in model validation?
How do you check for data quality?
What do you understand by type I vs type ii error?
What is churn? How would it help predict and control churn for a customer?
Explain the decision tree algorithm?
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