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Could you demonstrate how to create and display a random normal distribution using a function?

Build a collaborative document editing platform like Google Docs.

Is relying on R-square values alone for linear regression analysis advisable? Is a low R-square value a definitive sign of poor fit in a linear regression model?

Decision trees and bias and variance - could you give us insight into how they relate? And in particular, which of those two is more tricky to manage: high bias or high variance, and what's the explanation behind that?

Build a machine learning pipeline that scales across distributed systems.

Could you elaborate on the distinctions between L1 and L2 regularization methods in regression analysis, and when using one is more advantageous than the other?

How would you generate i.i.d. draws from a specific distribution X, given we only have access to a random number generator?

Create a system for rate limiting in distributed services.

How can you differentiate between bagging and boosting, and what impact do they have on the bias and variance of supervised learning models?

Could you give me an example of how you would write a function that can accurately identify which words in a list are anagrams of other words in that same list?