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Research Paper | Information Technology | India | Volume 13 Issue 4, April 2024 | Rating: 5 / 10
Property Future Price Estimation Using ML, Power BI Time Series Analysis and Forecasting
Aravinthan B.
Abstract: One of the most price - focused and constantly variable markets is the real estate one. It is one of the best areas to use machine learning concepts to improve and accurately forecast costs. Predicting a real estate property's market worth is the aim of this article. This approach assists in determining a property's beginning price by taking into account geographic factors. Through the analysis of historical market trends, value ranges, and upcoming innovations, future expenses can be predicted. Developers, mortgage lenders, and real estate investors need to predict future property prices with accuracy. In this paper, a new method for property price prediction utilizing Power BI and time series analysis is presented. The suggested approach builds a prediction model by including location - specific variables, economic indicators, and historical data on property sales. Time series analysis techniques are utilized to spot patterns and trends in real estate pricing, and Power BI's analytics and data visualization features are used to efficiently analyze and explain the data. The model's capacity to produce accurate and dependable price predictions is demonstrated by the evaluation it receives utilizing a variety of performance criteria.
Keywords: power BI, Time series analysis, Forecasting, Regression, Prediction of Future Property Prices
Edition: Volume 13 Issue 4, April 2024,
Pages: 619 - 622