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@article{161189,
        author = {Mr. Manoj patel and Dr. Samir Gopalan},
        title = {Exploring the Performance of India's National Pension Scheme: A Machine Learning Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {2},
        pages = {885-893},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=161189},
        abstract = {The National Pension Scheme (NPS) in India plays a crucial role in providing retirement benefits to citizens. Understanding its functions and assessing its performance is essential for effective policymaking and ensuring a secure future for individuals. In this study, we employ advanced machine learning techniques to analyze the NPS and gain valuable insights. By leveraging data-driven approaches, we aim to uncover patterns, trends, and key factors that influence the scheme's performance. This analysis contributes to enhancing our understanding of the NPS and facilitates evidence-based decision-making for policymakers, investors, and individuals planning for their retirement.},
        keywords = {NPS, MACHINE LEARNING, DATA DRIVEN ANALYSIS.},
        month = {},
        }