It was focused on machine learning, where I explained core algorithms like linear regression, decision trees, and clustering, along with the mathematical concepts such as probability, linear algebra, and optimization. Additionally, I covered SQL fundamentals including queries, joins, and data handling techniques used for efficient analysis of structured datasets.