on 26th of the month our team submitted the project-2 and we are hoping for good grades for the work that we have done
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 Pakalpatiās 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.
Lecture-8
Today, we had a discussion focused on the dataset for Project 2, which closely mirrored the conversation we had last week. During the session, we were given the opportunity to share our individual ideas, interpretations, and initial thoughts regarding the dataset. This collaborative exchange helped us deepen our understanding of the data and explore potential directions for our analysis moving forward.
Lecture-7
Today, we held a detailed discussion regarding the newly introduced ACLED-India dataset. The conversation focused primarily on understanding the structure and characteristics of the dataset, particularly the various attributes it contains. We explored the meaning and relevance of each attribute, how they are defined, and how they can be utilized for analysis. This initial review was aimed at building a foundational understanding of the dataset to guide future analytical work and research.
Lecture-6
Today we had an interactive secession where professor G Davis is asking every group about the project status and prof asked about our project and and we briefly described him about our project .
lecture-5
Today our classmate Mahnoor presented her ideas where she was talking about the percent of people shot at a county and how are they shot continuously over the period of time.