Analyzing India's Gross Domestic Product (GDP) 
Through Machine Learning's Linear Regression Models 
for Sustainable Socio-Economic Growth in Atma Nirbhar

Ashok Mhaske

doi:https://doi.org/10.14445/22315373/IJMTT-V70I9P106

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 70 | Issue 9 | Year 2024 | Article Id. IJMTT-V70I9P106 | DOI : https://doi.org/10.14445/22315373/IJMTT-V70I9P106

Analyzing India's Gross Domestic Product (GDP) Through Machine Learning's Linear Regression Models for Sustainable Socio-Economic Growth in Atma Nirbhar

Ashok Mhaske

Received	Revised	Accepted	Published
29 Jul 2024	30 Aug 2024	18 Sep 2024	30 Sep 2024

Abstract

This study explores India's economic growth from 1993 to 2022 using online data. We focus on key factors like GDP, inflation-adjusted GDP, and GDP per capita. By applying simple linear regression models through Python programming, we aim to understand historical trends and patterns. Our analysis doesn't just look at the past; we use this data to predict future GDP. This predictive tool helps us estimate how India's economy might perform. We believe this approach can provide useful insights for decision-makers and contribute to building a self-reliant India.

Keywords

GDP, Economic Analysis, Machine Learning, Linear Regression, Python Programming.

References

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Citation :

Ashok Mhaske, "Analyzing India's Gross Domestic Product (GDP) Through Machine Learning's Linear Regression Models for Sustainable Socio-Economic Growth in Atma Nirbhar," International Journal of Mathematics Trends and Technology (IJMTT), vol. 70, no. 9, pp. 47-50, 2024. Crossref, https://doi.org/10.14445/22315373/IJMTT-V70I9P106