Sahil Makhijani, Anurag Dubey, Ankush Makhijani
2020 International Journal of Engineering Applied Sciences and Technology  
Weather forecasting has traditionally been done by complex simulation models of physics made up of complex equations of fluid dynamics and thermodynamics. Due to this, even minute errors in the simulation causes huge differences in the results. Thus, this method is inaccurate for long-term forecasting. On the other hand, machine learning techniques are more robust to minute errors in training datasets. In this paper we explore machine learning regression algorithm application to weather
more » ... ing, to potentially generate more accurate weather forecasts for large periods of time. The regression model, described in this paper, will be able to capture trends in the weather. This model is outperformed by professional weather forecasting services. A. Simple Linear Regression Linear regression performs the task to predict a dependent variable value (y) based on a given independent variable (x). So, this regression technique finds out a linear relationship
doi:10.33564/ijeast.2020.v05i06.022 fatcat:hl5mdegrenathfsjrfpo72izee