Explain the difference between data science and data analytics?
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Explain principal components analysis with equations.
What are Principal components?
You have a bag with 6 marbles. One marble is white. You reach the bag 100 times. After taking out a marble, it is placed back in the bag. What is the probability of drawing a white marble at least once?
What is underfitting?
What are limitations of DBSCAN?
Can you explain k-mean?
For linear regression, what are some of the assumptions a data scientist is most likely to make?
Define a sql query?
What is meant by lattice graphs?
Can you explain systematic sampling?
Explain why data cleansing is essential and which method you use to maintain clean data?
Explain k-mean?
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