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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?

Develop a distributed system for tracing and monitoring services.

Design a distributed rate limiter.

Can you mention a selection of optimization algorithms you're versed in? How would you go about optimizing a scenario with an extremely large variable set, say a million? How does the simplex method facilitate solving linear optimization problems?

How does regularization contribute to machine learning models?

Could you share your approach to developing a demand forecasting model for a ride-sharing service? What data sources and factors would you consider in this process?

What are the distinctions between Ridge and Lasso?

Is it possible for you to create a KNN classifier without relying on external resources?

How do SVM and Random Forest contrast each other?

How does Random Forest contribute to the field of ensemble learning methods?