Completed a comprehensive specialization covering calculus, linear algebra, and probability & statistics — building a strong mathematical foundation for machine learning and data science.
Built a strong foundation in linear algebra concepts for machine learning and data science, covering vectors, matrices, and their real-world applications.
Developed a solid understanding of probability and statistics for machine learning and data science, focusing on data distributions, sampling, and inference.