How is bagging different from boosting?
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What is meant by classical ANOVA?
How will you design the heatmap for Uber drivers to provide recommendation on where to wait for passengers? How would you approach this?
How do you take millions of users with 100's of transactions each, amongst 10000's of products and group the users together in a meaningful segments?
Why do you want to work as a data scientist?
Explain data munging or data wrangling?
What is systematic sampling?
How does data cleaning plays a vital role in analysis?
Can you explain recommender system?
Can you define data discretization?
What is the difference between a bagged model and a boosted model?
What is clustering? What is the difference between kmeans clustering and hierarchical clustering?
What is data science? Also, list the differences between supervised and unsupervised learning.
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