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Python is enough for data science ?
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What is root Linear Regression analysis?
A test has a true positive rate of 100% and false positive rate of 5%. There is a population with a 1/1000 rate of having the condition the test identifies. Considering a positive test, what is the probability of having that condition?
How are confidence intervals constructed and how will you interpret them?
What is back propagation and explain it’s working.
Explain the benefits of using statistics by data scientists
What are eigenvectors and eigenvalues?
For linear regression, what are some of the assumptions a data scientist is most likely to make?
What are the steps involved in analytics projects?
What is cluster sampling in data science?
Which package is used to do data import in r and python? How do you do data import in sas?
Can you explain unsupervised learning?
What is an api?
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