• ANUPAM KUMAR MAURYA
• Anurag Singh
• Preeti Navel

Weather forecasting has been playing an important factor due to its applications in the various sectors such as in agriculture, utility companies and in day-to-day life. Weather prediction is a real-time challenging issue witnessed by the world in the last decade. The prediction is becoming more complex due to the ever-changing weather conditions. Weather forecasting entails predicting how the present state of the atmosphere will change. For effective analysis of the weather, it is necessary to understand various influencing factors that cause the weather changes. Weather forecasting is the process of recording the parameters of weather like wind direction, wind speed, humidity, rainfall, temperature etc. Since machine learning techniques are more robust to perturbations, in this project we applied linear regression and Neural Network to predict the weather such as temperature, rainfall etc. and compare both approaches and analyze it

weather forecasting; Machine Learning(ML); Algorithms; Linear Regression; Neural Network

" WEATHER FORECASTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.c81-c84, May-2022, Available :http://www.jetir.org/papers/JETIR2205313.pdf

" WEATHER FORECASTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppc81-c84, May-2022, Available at : http://www.jetir.org/papers/JETIR2205313.pdf