oday, we engaged in a discussion centered around the dataset, with a focus on two key machine learning algorithms: K-Means clustering and K-Nearest Neighbors (KNN). The professor explained the underlying concepts, applications, and differences between the two methods. Additionally, we were introduced to Ravi Pakalpati’s thesis, which was discussed in the context of its relevance to our ongoing work and the methodologies it employe