Predicting the GDP of India using Machine Learning

Authors

  • Navyasri S
  • Nayala Hafsa
  • Nayana S
  • Nireeksha Bilimale
  • Asha Rani M

Keywords:

GDP(Gross domestic product), k-means, clustering, Regression.

Abstract

Gross domestic products (GDP) is a monetary measure of the market value of all the final goods and services produced in a specific time period, often annually. The GDP of India is depending on several factors like agriculture, land, manufacturing, electricity and gas etc. There is always changes in the GDP, it increases or decreases based on the above mentioned factors for every year. In this project we developed a web based application which helps to predict the next year GDP based on the several factors. This application helps the government to analyse over the predicted data and take several action so that we can stop the GDP decreasing rate

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Published

2020-06-01

How to Cite

S, N., Nayala Hafsa, S, N. ., Nireeksha Bilimale, & M, A. R. . (2020). Predicting the GDP of India using Machine Learning . International Journal of Progressive Research in Science and Engineering, 1(2), 78–81. Retrieved from https://journal.ijprse.com/index.php/ijprse/article/view/28

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Section

Articles