The below document presents the implementation of price prediction projectfor the real estate markets and housing. Many algorithms are used here to effect-ively increase the accuracy percentage, various researchers have done this projectand implemented the algorithms like hedonic regression, artificial neural networks,AdaBoost, J48 tree which is considered as the best models in the price prediction.These are considered as the base models and by the help of advanced data miningtools algorithms like a random forest, gradient boosted trees, multi layer perceptronand ensemble learning models are used and prediction accuracy is attained in ahigher rate. The results and evaluation of these models using the machine learningand advanced data mining tools like Weka, Rapid Miner will have the more influ-ence in the price prediction


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