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Crime Prediction with Machine Learning by melese onoshe is a document available to read on EtoBox.

This research proposal aims to conduct a time series crime prediction analysis using machine learning techniques for the Wolaita Sodo City Police Department. The study intends to analyze historical crime data to develop a predictive model that enhances law enforcement efficiency and resource allocation. By applying various machine learning algorithms, the research seeks to provide valuable insights for proactive crime prevention strategies in the city.

Author
melese onoshe
Language
EN