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Analysis of machine learning models in predicting weather conditions and its severity

. R.Devi and D.Siva


Quantifying the climate estimation can lead to insight by considering the environment as a liquid.The changes in the condition of the air and the future condition of the environment can be analysed with  parameters of thermodynamics and liquid elements.The more conventional methods of analyzing the climatic conditions are sometimes unreliable.So it leads to an inadequate  strategy of  weather prediction. But Machine learning is moderately warm to most barometric unsettling influences when contrasted with customary techniques. Another favorable position of machine learning is that it isn't reliant on the physical laws of environmental procedures. The present study examines using machine learning models and regression to predict the weather conditions by several additional parameters and identifying the reliability of each model.


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