This dissertation will speci cally discuss how machine learning, through some of its algorithms, is able to investigate the various kinds of crime committed in the New York City land area, with special focus on the root-cause, allegedly paving the way for the violation of certain areas of the law. After covering some general background information concerning the history of this eld while discussing a few examples taken from previous work, as well as the history of crime within the interested geographical area, focus will be placed in rst of all nding ways to retrieve all the necessary numerical information dating back several years, since some of them might not be explicitly available, and after ful lling this task, the selected machine learning algorithms will be implemented to have an insight about the relationship between the chosen variables. We then conclude with the direction in which future research should be heading.