Python or R is better for data science?
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What are the principal components?
What do you understand by the selection bias?
What is random forests?
Is it possible to perform logistic regression with Microsoft Excel?
Explain data munging or data wrangling?
What do you understand by parametric and non-parametric methods? Explain with examples.
A stranger uses a search engine to find something and you do not know anything about the person. How will you design an algorithm to determine what the stranger is looking for just after he/she types few characters in the search box?
Define naive bayes?
Explain unsupervised learning?
How would churn help predict and control churn for a customer?
Define analytics?
How has your prior experience prepared you for a role in data science?
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