Crime data anlysis using machine learning


 Crime is one of the biggest and dominating problems in our society its prevention an important task. Daily there are huge numbers crimes committed frequently. This requires keeping track all maintaining a database for same which may be used future reference. The current problem faced proper dataset crime analyzing this data to help predicting solving future. objective project analyze consist numerous type happen depending upon various conditions. In project, Machine Learning science techniques prediction Chicago set. For supervised classification Random Forest algorithm used. approach involves classifying, pattern detection visualization with effective tools technologies. Use past trends helps us correlate factors might understanding scope crimes. work, visualizing machine learning algorithms adopted distribution over area. first step, raw datasets processed visualized based on need.