Abstract: Weather plays a crucial role in everyone’s life. Accurate weather information is necessary to plan our day-to-day activities. Appropriate weather forecasting is important as it is to protect ourselves as well as our property. The primary aim of this study is to review different Machine Learning and Deep Learning techniques used in weather forecasting. Machine Learning is the automated process in which models learn by themselves, identify patterns and make decision. This review indicates that Machine Learning and Deep Learning techniques can help us to forecast weather based on input features such as temperature, humidity, Rainfall, Air Pressure and so on.

Keywords: Machine Learning, Deep Learning, Weather Forecasting, ANN, MLP

| DOI: 10.17148/IARJSET.2021.8537