Why data cleaning plays a vital role in analysis?
Name commonly used algorithms.
How do you understand by bias variance trade off?
Why do you need a for loop?
Can you explain k-mean?
What is meant by R statistics?
How will you decide which version (Version 1 or Version 2) of the Surge Pricing Algorithms is working better for Uber ?
What is the return type of the function ID?
Explain data cleansing?
What are limitations of DBSCAN?
Explain the difference between overfitting and underfitting?
What is the aim of a/b testing?
What are the different performance metrics for evaluating Uber services?
What tools or devices help you succeed in your role as a data scientist?
What is the central limit theorem? How is a normal distribution different from chi square distribution?