Completed a comprehensive specialization in machine learning — mastering supervised, unsupervised, and reinforcement learning techniques to build and optimize real-world AI models.
Completed a comprehensive specialization covering calculus, linear algebra, and probability & statistics — building a strong mathematical foundation for machine learning and data science.
Completed the Neural Networks and Deep Learning course — developed a strong foundation in forward/backward propagation, gradient descent, and building deep neural networks from scratch…
Built a strong foundation in linear algebra concepts for machine learning and data science, covering vectors, matrices, and their real-world applications.
