• Gunda Nithin
• M Sai Trilochan
• G Sangamesh
• Mr. Vigneshwara Reddy
• Dr. Subhani Shaik

Weather forecasting is the most important thing for observing the atmosphere observations by location and time. Regression techniques are a mainstay of information and have been chosen for numerical machine-learning concepts. This may be perplexing because we can use regression to refer to the class of problem and algorithm. This paper provides temperature predictions in weather forecasting from time to time using regression-based techniques. We have to use four techniques Ordinary Least Squares Regression, Logistic Regression, Multivariate Adaptive Regression Splines, and Locally Estimated Scatterplot Smoothing. We focus on the mean square error rate of each technique. Different types of metrics are tested in this research. Low MSE is indicated for better weather forecasting results. The statistical results consider the lower MSE rate as optimal.

Regression techniques, weather forecasting, Prediction, MSE

"REGRESSION TECHNIQUES BASED ON WHETHER FORECASTING PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.k390-k399, April-2024, Available :http://www.jetir.org/papers/JETIR2404A50.pdf

"REGRESSION TECHNIQUES BASED ON WHETHER FORECASTING PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppk390-k399, April-2024, Available at : http://www.jetir.org/papers/JETIR2404A50.pdf