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Abstract: In this review paper, we have research on the machine learning techniques to prediction of weather with much accuracy. Ins this research process we have used following parameters to predict weather: temperature, rainfall, evaporation, sunshine, wind speed, wind direction, cloud, humidity and size of datasets. This research aims to compare the performance of many machine learning algorithms for predicting weather using weather data. From the collected weather dataset which contains some weather attributes, which are most relevant for weather prediction. In this review, various Machine Learning Techniques have explored which includes Naive Bayes Algorithm, Logistic Regression. The experimental results show that Naive Bayes algorithm has good level of accuracy than other algorithms.