What is random forests and how is it different from decision trees?
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Describe some assumptions considered important for linear regression?
Can you explain k-mean?
What is meant by logistic regression?
Can you define data reduction?
Can you explain data munging or data wrangling?
How to work towards a random forest?
What is the 80/20 rule? Explain its importance in model validation?
How can I become a data scientist?
Do we have different selection biases, if yes, what are they?
What are decorators in Python?
What are eigenvectors and eigenvalues?
What will be the output of runif (7)?
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