Lecture-13

today 22nd april as the semester is about to complete we were gearing up towards completing the project , the code and the key findings are completed and now the report writing is left, the model was perfectly built and the findings were helpful.

Lecture-12

Today 15th april, our team was discussing about the key aspects and the issues that needs to be included in the project-2 and the also made a flow chart to work on the project . like the roles and the important points that needs to be included in the project.

lecture 11

today 8th april, we were working on the drawbacks in the project 1 . Based on the feedback given by the professor . our team was working on the designated roles to get the best of our project. i was doing the report writing part in the project.

Lecture-10

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.