In this post, I will analyze major Crime Indicators in Toronto in years from 2014 to 2018. I obtained the publicly available data set from the Toronto Police Service. First, I will visually inspect the crime scene in the City. Specifically, I will use the Matplot library to demonstrate the composition of assaults. Additionally, I will mark the most criminal neighborhoods on the map while utilizing both the MarkerCluster and HeatMap as plugins of folium package.
In this post, I will explore and configure a few classification algorithms (supervised machine learniIn this post, I will explore and configure a few classification algorithms (supervised machine learning). I originally wanted to apply ML and fit some models on diabetes data. The diabetes dataset is one of the most well known data available to ML enthusiasts for their learning purposes. After I had started writing my script for the post, I found an article written by Lahiru Liyanapathirana more than an year ago.