Predictive Policing: Preventing Crime in San Francisco using XGBoost and Python
In this tutorial, we’ll be using machine learning to predict and map out crime in San Francisco. We’ll be working … Read more
Spatial data is any data that has a geographic or spatial component, meaning that it is associated with a specific location on the earth’s surface. Spatial data can have a variety of formats, including points, lines, polygons, and raster images. Examples of spatial data include satellite imagery, GPS data, and geographic information from maps and other sources that are often represented as latitude and longitude.
In this tutorial, we’ll be using machine learning to predict and map out crime in San Francisco. We’ll be working … Read more