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Which techniques did you apply to address multicollinearity in your data?

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Data Analyst
Marketer
General
ML Knowledge

Discuss both detection methods (like VIF, correlation matrices) and resolution techniques (such as feature selection, PCA, or regularization).

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Hard Difficulty

Hard questions require advanced understanding and critical thinking. Here, your problem-solving skills are key, as these questions often involve complex scenarios needing in-depth analysis and well-structured responses.

ML Knowledge question

ML Knowledge questions test your theoretical understanding of machine learning concepts. Showcase your grasp of algorithms, model training techniques, feature engineering, and the mathematical foundations of artificial intelligence.

Leaderboard for Addressing Data Multicollinearity?”