Weather Prediction Using Machine Learning Algorithms

Abstract

Weather forecasts have grown increasingly significant in recent years since they can save us time, money, property, or even our lives. Despite the fact that India has a large number of weather stations, they are mainly located in inhabited regions such as cities, suburbs, or towns. This makes weather forecasting in isolated regions more imprecise, which can be inconvenient for individuals such as farmers who rely largely on weather reports in their daily work. In this paper, we are predicting the weather by analyzing features like temperature, apparent temperature, humidity, wind speed, wind bearing, visibility, cloud cover with Random Forest, Decision Tree, MLP classifier, Linear regression, and Gaussian naive Bayes are examples of machine learning methods. Based on the results obtained a comparative study is done concerning the accuracy.