How do you define data science?
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Explain the difference between Supervised and Unsupervised Learning through examples.
Do you have some knowledge of R - analyse a given dataset in R?
Differentiate between data modeling and database design?
How is random forests different from decision trees?
How can you reduce bias in a given data set?
How decision tree algorithm is different from the random forest algorithm?
You are creating a report for user content uploads every month and observe a sudden increase in the number of upload for the month of November. The increase in uploads is particularly in image uploads. What do you think will be the cause for this and how will you test this sudden spike?
Describe some assumptions considered important for linear regression?
what is bias?
What are the principal components?
What is meant by Random Forest Classifier?
Can you explain root cause analysis?
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