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What is 'naive' in the Naive Bayes classifier?
You have been given the data on Facebook user's friending or defriending each other. How will you determine whether a given pair of Facebook users are friends or not?
What are the risks of overfitting models to sensitive user data?
What are Important things to remember for ggplot?
Why is naive bayes better than decision tree?
How can you assess a good logistic model?
What are your favorite data visualization tools?
How will you design an email spam filter?
What brute-force search strategies?
Mention key business metrics that help ML?
Explain the decision tree classification?
Where linear optimization is used?
What is the correlation in r?
What is Overfitting and Underfitting and how to combat them?
What is strong artificial intelligence?
