An Approach of Machine Learning to Get the Popularity Vaticinator of Vehicle

Authors

  • P V Subba Reddy Assistant Professor, Department of Information Technology, PACE Institute of Technology and Sciences, Ongole, Andhra Pradesh, India Author
  • A Seshagiri Rao Professor, Department of Information Technology, PACE Institute of Technology and Sciences, Ongole, Andhra Pradesh, India Author
  • P Ramalingamma Assistant Professor, Department of Information Technology, PACE Institute of Technology and Sciences, Ongole, Andhra Pradesh, India Author
  • S Giribabu Assistant Professor, Department of Computer Science & Engineering, PACE Institute of Technology and Sciences, Ongole, Andhra Pradesh, India Author

Keywords:

Machine Learning, Regression, Classification, Supervised Machine Learning, Logistic Regression, KNN, Random Forest

Abstract

Today could be a world of technology  with a predicted way forward for a machine reacting and  thinking same as human. during this method of rising  computing, Machine Learning, information Engineering,  Deep Learning plays an important role. during this paper,  drawback the matter} is known as regression or  classification downside and here we've resolved a true  world problem of recognition vaticinator of a auto  company persecution machine learning approaches. 

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References

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Published

2022-04-30

Issue

Vol. 9 No. 2 (2022): International Journal of Innovative Research in Engineering & Management (April )2022

Section

Articles

How to Cite

An Approach of Machine Learning to Get the Popularity Vaticinator of Vehicle . (2022). International Journal of Innovative Research in Engineering & Management, 9(2), 617–621. Retrieved from https://acspublisher.com/journals/index.php/ijirem/article/view/11182