Crime data refers to information about criminal activities and offenses that have been reported to law enforcement agencies. This data can include details about the type of offense, the location and time of the offense, the suspects and victims involved, and the outcome of the investigation. Crime data is typically collected by police departments and other law enforcement agencies, and it is used for a variety of purposes, such as tracking crime trends, identifying hot spots, and evaluating the effectiveness of crime prevention and intervention programs. Crime data can also be used by researchers, policymakers, and the general public to gain insights into the nature and causes of crime, and to inform decisions about public safety and crime policy.
In this tutorial, we’ll be using machine learning to predict and map out crime in San Francisco. We’ll be working with a dataset from Kaggle that contains information on 39 different types of crimes, including everything from vehicle theft to drug offenses. Using Python and the powerful Scikit-Learn library, we’ll train a classification model using … Read more
