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Machine Learning Approaches to Real Estate Market Prediction Problem: A Case Study
Among the four studied machine learning algorithms, XGBoost delivers superior results and robustness of the model compared to other models.
Housing Market Prediction Problem using Different Machine Learning Algorithms: A Case Study
Developing an accurate prediction model for housing prices is always needed for socio-economic development and well-being of citizens.
Incorporating Image Gradients as Secondary Input Associated with Input Image to Improve the Performance of the CNN Model
In existing CNN architectures, to train the network on given input, only single form of given input is fed to the network.
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