Predictive Policing: Preventing Crime in San Francisco using XGBoost and Python

san francisco crime map python machine learning crime type prediction-min

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