Crime Analysis and Prediction using Machine Learning


Authors : Nazma Sultana Shaik; K. Sai Krishna; P. Naveen Kumar

Volume/Issue : Volume 7 - 2022, Issue 6 - June

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3QKnzv9

DOI : https://doi.org/10.5281/zenodo.6716727

Crime is one in every of the most important hurdle in today’s global and it’s growing at the hearth place tempo that is a primary motive for concern. There is a want to screen and maintain music of all the crimes in order that it may be utilized by police branch to analyze the instances without problems and quickly. In this experiment, a gadget studying K-way set of rules is used to are expecting and examine the crime with inside the metropolis of Chicago. The dataset of crimes in Chicago is to be had on the kaggle website, this is used because the dataset to make prediction and to visualize the styles and developments of various crimes. The different cause of this mission is to assess how lots okay – way set of rules is viable to decide and clear up the present day problem.

Keywords : Crime Analysis, Training Datasets, Decision tree, Naïve Bayes, k Nearest Neighbor (KNN)

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