A Comprehensive Study on Weather Forecasting using Machine Learning

Weather forecasting which is a key player in everyday life is a remarkable advantage of science and technology. Weather prediction can support people as protecting the assets and lives of them. The persons involved in outdoor occupations can be benefited by the weather prediction as they needed to know the weather previously. In the paper, the concept of supervised learning is used, which is one of the learning techniques in machine learning. The paper presents the algorithm, which applies the concept of linear regression and artificial neural network, to predict the variation of temperatures such as high and low values as features in a linear combination. The main features focus on maximum or minimum temperature, mean values of humidity, and atmospheric pressures considering the previous two days. The paper focuses on prediction and analysis of weather forecasting which further entirely applies the concept of machine learning.