Abstract:Machine learning methods, offering unique characteristics for variable identification and it’s importance, are now gradually used for prediction, forecasting and devising important scenarios for integral decision-making. Sequential and dynamic growth in technology can fundamentally become a foremost indicator in measuring technology strength in innovative technology-based development. Prudent and systematic data generation is part of the same transition phase playing an equivalent role in creating evidence ana… Show more
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