Explain how can you assess a good logistic model?
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What is need of principal component analysis?
What is chi square test?
What is the 80/20 rule? Explain its importance in model validation?
You have 2 dices. What is the probability of getting at least one 4? Also find out the probability of getting at least one 4 if you have n dices.
What is logistic and linear regression?
What is chi-square tests?
Please explain eigenvectors and eigenvalues?
Why is dimensional reduction performed before fitting a support vector machine (svm)?
Explain reinforcement learning.
Write the formula to calculate r-square?
For linear regression, what are some of the assumptions a data scientist is most likely to make?
Explain supervised learning?
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