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
Lecture-9
On 29th March, we received feedback on our Project 1 submission. The feedback highlighted certain areas that required improvement. Following this, our group had a constructive discussion with the professor to gain clarity on the suggested changes and understand how we could enhance the quality of our report. This conversation provided valuable insights that will help us make the necessary revisions effectively.