Analyzing India's Gross Domestic Product (GDP) Through Machine Learning's Linear Regression Models for Sustainable Socio-Economic Growth in Atma Nirbhar
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.
Authors
- Ashok Mhaske
Institutions
- Kanya Maha Vidyalaya (IN)
Publication Details
- Journal
- International Journal of Mathematics Trends and Technology
- Published
- 2024-09-30
- DOI
- https://doi.org/10.14445/22315373/ijmtt-v70i9p106
- Primary Topic
- Forecasting Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00