Why is resampling done?
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What do you mean by graphics devices in data visualization?
Can you explain data munging or data wrangling?
How will you drop variables using indices in a data frame?
What is meant by lattice?
What are outlier values?
What do you do as a data scientist?
How can you decide if one algorithm is better than the other?
Differentiate between supervised and unsupervised learning?
Give an example of a data set that has a non-gaussian distribution?
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What is the difference between an analyst and a data scientist?
In k-means or knn, we use euclidean distance to calculate the distance between nearest neighbors. Why not manhattan distance?
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