@article{2020,title={Estimation of Housing Prices with Artificial Intelligence},abstractNode={Housing purchase is a multidimensional problem that requires people to meet their housing, health, safety and various socio-cultural needs with a certain budget. The developments in artificial intelligence methods now allow solutions too many problems such as buying houses in daily life. Artificial neural networks and deep learning methods are among the methods used for this purpose. In this study, an intelligent system has been developed that collects and records the housing data for sale on the internet and estimates the housing price. Housing data for sale in Istanbul was collected for the developed system. The data were divided into 10-fold cross-validation method for training and testing. The data were modeled with 14 different algorithms based on 176 attributes, and price estimation study was performed. The most successful price estimation for 852 houses in Ataşehir district of Istanbul was obtained by Random Forest Algorithm. With this study, a system has been developed in which researchers, companies operating in the housing market and consumers can estimate the housing prices. In addition, it is aimed to give researchers a new perspective for using different artificial intelligence methods or residential attributes.},author={Emrah AYDEMİR-Cemal AKTÜRK - Mehmet Ali YALÇINKAYA},year={2020},journal={Turkish Studies-Information Technologies and Applied Sciences}}