The interview primarily focused on core machine learning concepts such as data cleaning, preprocessing, model training, and basic evaluation techniques. It aimed to assess practical understanding, logical thinking, and problem-solving skills, rather than emphasizing advanced algorithms or highly specialized, niche machine learning topics.
