Weather Analysis and Prediction based on Bagging Regression

From ancient times to the present, weather has been an inseparable factor for human activities. With the development and progress of the times, modern society increasingly needs to conduct accurate analysis and prediction of weather to ensure normal human activities. For this reason, this paper proposes a method for weather analysis and prediction based on bagging regression. First, the weather-related historical data of a certain area is obtained; then the original data is simply cleaned; Then use the bagging regression algorithm of the integrated learning in machine learning to model and analyze; the last step is to use the model just built for new data prediction. According to multiple test analysis, it can be concluded that the method model is simple and easy to use, and can provide a certain supporting basis for the analysis and prediction of weather-related data.