What are distance measures in R statistics?
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Explain the decision tree algorithm?
Please explain eigenvectors and eigenvalues?
You are given two tables- friend_request and request_accepted. Friend_request contains requester_id, time and sent_to_id and request_accepted table contains time, acceptor_id and requestor_id. How will you determine the overall acceptance rate of requests?
What are outlier values?
How is random forests different from decision trees?
What are feature vectors?
You created a predictive model of a quantitative outcome variable using multiple regressions. What are the steps you would follow to validate the model?
Discuss normal distribution
What do you understand by bias, variance trade-off?
Explain data munging?
Is jupyter open source?
Give some situations where you will use an SVM over a RandomForest Machine Learning algorithm and vice-versa?
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