Weather forecasting has been an interesting, quite important and an integral part of the meteorological department. This paper details our analysis of the Weather Database, which contains information such as weather conditions of different regions in the world. We gather a series of relative information from the pre-existing data and draw relationships using various data mining techniques. In particular, we concentrate on factors relevant to the weather conditions of the locations, the relationship between weather conditions, time of the year, maximum temp, minimum temperature, rainfall, and humidity. Then we create a model according to the factors and making use of the database and train the classifiers. We tested these algorithms and compared the results and finally concluded which gave the best results. The paper also reports on the techniques used, giving their implementation and usefulness.
