House Price Prediction Using Random Forest and Decision Tree Algorithms

Autor: Varghese, Akhila, Sruthimol Kurian
Rok vydání: 2023
Předmět:
DOI: 10.5281/zenodo.7950137
Popis: — Nowadays, property prices riseevery year, requiring the development of a system capable of predicting future house values. People want to buy a house within their financial means. as well as market research methods. As a result, the primary goal of our research is to accurately estimate home prices while avoiding losses. When predicting home expenses, there are various elements to consider, and clients should try to anticipate efficient home prices based on their budget and preferences.
Databáze: OpenAIRE