What are numpy, scipy, and spark essential datatypes?
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How will you overcome overfitting in predictive models?
Discuss 'naive' in a naive bayes algorithm?
Explain why data cleansing is essential and which method you use to maintain clean data?
What is the difference between data science, machine learning and artificial intelligence?
what is prior probability and likelihood?
How do you work towards a random forest?
Explain eigenvalue and eigenvector
How to understand the problems faced during data analysis?
Explain each data visualization in detail?
How would you do market basket analysis in r and python?
How will you define the number of clusters in a clustering algorithm?
Which package is used to do data import in r and python? How do you do data import in sas?
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