Paper Title
Forecasting and Analysing Crime Data using Prophet, Auto-Arima and Holt-Winters

Abstract
Crimes are growing rapidly day by day. Proper crime analysis and forecasting is needed to identify those crimes. Crime analysis is the analysis of crime patterns and trends. It also helps in the research and planning required for the functioning of tactical units and administrative services. Crime forecasting is a unique ability to forecast future crimes, up to years in the future, to increase prevention efforts and locate resources in more heavily affected locales. It can help to prevent recurring crimes in an area by identifying the patterns of crimes committed in the past or identifying the most common types of crime. Machine learning plays a major role in forecasting crime data in a very efficient manner nowadays. Keywords - Crime Forecasting, Prophet, Auto ARIMA, Holt-Winters Exponential Smoothing Method.