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health, happiness, etc. for understanding well-being; thinking about meaning and purpose of life, belief in God to
understand spirituality; attending services to understand religiosity. We hope to find a positive relationship
between spirituality, religiosity and overall health; and no significant effect of the different religions on good health.
17 Application of Machine Learning in Demographic Analysis through Python
software: An Exploration through Anaconda Navigator
VIJAY KUMAR MISHRA
Public Health Foundation of India, Gurugram, India
Categories
2. Population Census/Survey, Vital Registration, and Big Data
Abstract
Background: Nowadays, Machine learning (ML) has become very popular in data science for resolving complex
issues as well big-data analysis. This study would help to explore various options of data analysis through specially
designed software libraries.
Objectives: To study different aspects of machine learning in demography. To study packages to be used for
analysis of demographic data.
Methods: This study uses Nationally Representative Demographic and Health Survey data (DHS-VII, 2017-18) of
Albania. Data mining and predictive analyses were done through specified packages in python.
Results & Conclusions: The packages Matplotlib, Pandas, Numpy, Matplotlib and TensorFlow are the most suitable
python libraries that may perform data analysis of many aspects of demography.
Keywords: Numpy, Scipy, Matplotlib, Pandas, PyTorch, Kiras, Theano, TensorFlow, Scikit-learn
1550 Exploring the India’s population diversity with respective to minority and
majority transition
Srikanth Reddy Umenthala
International Institute for Population Science, Mumbai, India
Categories
8. Population Dynamics, Demographic Transition and Population Ageing
Abstract
Over the last few decades there have been remarkable changes in Indian population parameters. It consists of many
religious, caste and other social groups. Most of the studies have noted demographic indicators in each of the
states in India are dramatically different from each other states. This large inter-state diversity in fertility by region
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