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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 6 | Month- June 2024
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Paper Title
PYTHON BASED APPROACH TO ANALYZE CRIMINAL DATA USING ML
Authors
VAISHNAVI HITESH PATEL, MAHIMA RAVINDRA PATIL, PUJA VINAYAK CHAUDHARI, TRUPTI VISHWANATH PATIL
Keywords
Machine Learning, Crime Pattern, Linear Regression, Additive Regression, Decision Stump
Abstract
Data mining and machine learning have become a vital part of crime detection and prevention. In this research, we use WEAK, an open source data mining software, to conduct a comparative study between the violent crime patterns from the Communities and Crime Unnormalized Dataset provided by the University of California-Irvine repository and actual crime statistical data for the state of Mississippi that has been provided by neighborhoodscout.com. We implemented the Linear Regression, Additive Regression, and Decision Stump algorithms using the same finite set of features, on the Communities and Crime Datasets.Overall, the linear regression algorithm performed the best among the three selected algorithms. The scope of this project is to prove how effective and accurate the machine learning algorithms used in data mining analysis can be at predicting violent crime patterns.
IJCRT's Publication Details
Unique Identification Number - IJCRT2107266
Paper ID - 209864
Page Number(s) - c269-c277
Pubished in - Volume 9 | Issue 7 | July 2021
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
VAISHNAVI HITESH PATEL, MAHIMA RAVINDRA PATIL, PUJA VINAYAK CHAUDHARI, TRUPTI VISHWANATH PATIL, "PYTHON BASED APPROACH TO ANALYZE CRIMINAL DATA USING ML", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 7, pp.c269-c277, July 2021, Available at :http://www.ijcrt.org/papers/IJCRT2107266.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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