Crime Rate Prediction Using Machine Learning

Authors

  • Sirivanth Paladugu Student, Department of Computer Science and Engineering, SRM University, Guntur, India
  • Tarun Sai Yakkala Student, Department of Computer Science and Engineering, SRM University, Guntur, India
  • Neeraj Boggarapu Student, Department of Computer Science and Engineering, SRM University, Guntur, India
  • Sri Krishna Kumar Modekurty Student, Department of Computer Science and Engineering, SRM University, Guntur, India

Keywords:

data mining, data preprocessing, linear regression, predictive analysis

Abstract

The main objective of our project is to predict the Crime Rate in different regions using specific parameters like density, country, crime rate, central etc. In this project we considered a dataset of a particular Country. The region we selected is the United States of America. We used the Linear Regression model to predict the crime rate. Finally, a graph is plotted after implementing Linear Regression. A graph is plotted between density and crime rate to enhance distribution of crime rate in a particular region.

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Published

08-10-2021

Issue

Vol. 4 No. 9 (2021)

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
S. Paladugu, T. S. Yakkala, N. Boggarapu, and S. K. K. Modekurty, “Crime Rate Prediction Using Machine Learning”, IJRESM, vol. 4, no. 9, pp. 245–246, Oct. 2021, Accessed: Jan. 21, 2025. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/1389