Melbourne Housing Project
-Project Overview This project aims to apply machine learning methods to solve real-world problems related to housing prices in Melbourne, Australia. The project will involve data analysis, preprocessing, model selection, and evaluation. The primary goal is to estimate house prices using regression and tree-based methods.
-Dataset The dataset used in this project is the Melbourne Housing Market dataset, which contains various attributes of houses in Melbourne, including their prices. You can access the dataset from Kaggle.
https://www.kaggle.com/datasets/anthonypino/melbourne-housing-market
Team:
Mehmet KORUKÇU Email: mkorukcu@gmail.com Discord: mehmetkor
Ömer Bilgin Bilgili omerbilginbilgili@posta.mu.edu.tr Discord: Scroll_Lock
Alican YILDIRIM tonitruart@gmail.com Discord: alican.yildirim