Machine Learning Techniques for Prediction of Climate Change in Nagpur using various Optimized Models

Abstract

The Global temperatures are being affected by climate change. Nagpur's climate is a mix of wet and dry conditions. In the summer, the city experiences the driest weather. Because the city is approaching the extreme situation of climate change, it is vital to check the city's climate change parameters. In this study, we look at machine learning methods for predicting the climate, specifically the temperature factor for Nagpur. Three algorithms are discussed ,compare and contrast the Logistic Regression model, the Random Forest Classifier model, and the Auto Regressive approach model to find the optimum model for our prediction needs.