I was actively engaged in analyzing a criminal dataset. Initially, we divided the dataset into a training set and a test set to facilitate our analysis. During this phase, I calculated various statistics, including crime rates, for each geographical region and identified key features and target variables for a predictive model.

Subsequently, we leveraged the test set to make predictions related to crime rates, employing a machine learning algorithm tailored for this purpose. Our script seamlessly integrated data visualization tools, such as matplotlib, to create informative plots and charts that showcased the relationships and trends within the criminal data.