Machine Learning-Based Population Prediction of New Delhi: A Longitudinal Analysis

Volume 18 No 8 (2020)

K.Sindhuja, S.Madeline Arockiya Shiney, M.Maria Sampoornam

DOI: 10.48047/nq.2020.18.8.nq20235

Abstract

Accurate population prediction is essential for effective urban planning and resource allocation. This research paper presents a machine learning-based approach to predict the population of New Delhi, India. The study utilizes historical census data spanning the past 50 years to develop predictive models and assess the growth trends of the city. The collected data is analyzed and processed to extract meaningful features, which are then used to train and evaluate various machine learning algorithms. The results indicate the potential of machine learning in population prediction, providing valuable insights for urban planners and policymakers.

Keywords

Machine learning, population prediction, urban planning, New Delhi, census data.

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