EXPLORATORY DATA ANALYSIS AND FORECASTING THE INDIAN WEATHER USING MACHINE LEARNING

Abstract

India has a typical weather conditions consisting of various seasons and geographical conditions. Country has extreme high temperatures at Rajasthan desert, cold climate at Himalayas and heavy rainfall at Chirapunji. These extreme variations in temperatures make us to feel difficult in inferring / predictions of weather effectively. It requires higher scientific techniques / methods like machine learning algorithms applications for effective study and predictions of weather conditions. Purpose: The purpose of this study is to do an exploratory data analysis and prediction of mean temperature and rainfall in India. Methodology/Approach: The machine learning algorithms like Decision Tree Regression and Linear regression are used in this project to predict the temperature and rainfall. The exploratory data analysis is done using libraries of Python like matplotlib and plotly. Research Limitations: The dataset is limited only to the year between 1901 to 2017. Value: The insights will be used to analyze the weather and forecast it for optimizing the agricultural activities of our country.