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What was your approach to removing multicollinearity from your predictive models?

Create a data processing platform for big data.

How well-versed are you in different types of machine learning architectures? Could you provide some examples of those you've worked with?

Design a system for managing a distributed configuration store.

How do you decide which algorithm to use for a given problem?

Build a social platform for short-form content like Twitter.

How would you create a set of 1000 data points following a normal distribution with given mean and variance in R, analyze the descriptive statistics, and visualize with a density plot? Then, could you perform the same operations in Python on Codility's code editor?

How does collaborative filtering work within machine learning paradigms?

What is the 18th largest item in this array of numbers?

Could you design an algorithm to locate the longest palindrome in a specified string?