How will you design the heatmap for Uber drivers to provide recommendation on where to wait for passengers? How would you approach this?
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What are eigenvectors and eigenvalues?
Explain the importance of 80/20 rule in model validation?
How and by what methods data visualizations can be effectively used?
Why is data munging useful?
Burn two ropes, one needs 60 minutes of time to burn and the other needs 30 minutes of time. How will you achieve this in 45 minutes of time ?
What are the time series algorithms?
What do you understand by linear regression and logistic regression?
Explain the decision tree algorithm?
How is true positive rate and recall related?
What is the role of the activation function?
What are the different deep learning frameworks?
Can you explain cross-validation?
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