Paper Title :India’s GDP Story: Past, Present, and Future with Machine Learning Models
Author :Ankit Singh, Sourav Muzumdar, Arman Gupta, Dinesh Rathod, Jayant Kalani
Article Citation :Ankit Singh ,Sourav Muzumdar ,Arman Gupta ,Dinesh Rathod ,Jayant Kalani ,
(2023 ) " India’s GDP Story: Past, Present, and Future with Machine Learning Models " ,
International Journal of Management and Applied Science (IJMAS) ,
pp. 69-74,
Volume-9,Issue-7
Abstract : This report explores the path towards India's aspiration of becoming a 5 trillion dollar economy. Through data
analysis, modeling techniques, and causal relationship assessments, key insights are derived to aid policymakers in
formulating effective strategies. The report focuses on identifying prominent sectors, quantifying their contributions to GDP
growth, and assessing the interplay between sectors. Additionally, it provides policy suggestions based on the findings,
enabling proactive measures to impact sectoral growth and optimize resource allocation. The report highlights the
significance of data-driven decision-making and emphasizes the importance of monitoring trends, estimating time lags, and
quantifying confidence levels in policy implementation.
Keywords - India, GDP Growth, Data Analytics, Modeling, Causal Relationship, Sectors, Policy Suggestions, Resource
Allocation, Time Lags, Confidence Levels
Type : Research paper
Published : Volume-9,Issue-7
DOIONLINE NO - IJMAS-IRAJ-DOIONLINE-20062
View Here
Copyright: © Institute of Research and Journals
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Published on 2023-11-16 |
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