Member-only story
I had to give up a friendship recently because my erstwhile friend had defrauded two individuals who he had met through me. As upsetting as this incident was, it caused me to ponder the effect that artificial intelligence has on crime. Therefore, if the reader wonders why I am including crime in my blogs, he will know the dissolution of that relationship is the cause for it.
I found a research paper, “Crime Data Analysis in Python Using K-Means Clustering”, and read the piece, hoping to expand upon my skillset. I also wanted to write a review of the piece, but as I could not really find where K-Means clustering had been used in the dataset, I reluctantly decided against it.
One thing that I did get out of the research paper was the fact that the authors used a Chicago crime dataset, so I decided to use the dataset and see what results I could derive from it. I did not use K-Means clustering on this dataset because I was able to get the information that I needed just using pandas to process the data. It is because I was able to get the information I needed using standard data processing techniques that I am not sure exactly why the authors of the work decided to use it.
I got the dataset from the data science website, Kaggle, and it can be found here…
