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6 articles for “real estate market analysis”
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Interest Level Prediction in Rental Properties Using Data Science
Abstract: A key component of forecasting home prices and rental patterns is real estate market analysis. Data science, data mining methodologies, and statistical models are some of the strategies that have been created in recent years to solve this problem. A few problems are still required to be resolved, such as the obstacles caused by the availability and quality of the data; the presence of outliers, missing values, and inconsistent formats …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 28–34 Read article
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House Price Estimation Using Linear Regression: A Machine Learning Perspective
Abstract: House price prediction plays a crucial role in the real estate industry, helping buyers, sellers, and investors make well-informed decisions. Accurate estimation of property values enables stakeholders to assess market trends, plan investments, and minimize financial risks. This study focuses on the application of linear regression, a fundamental and widely used machine learning algorithm, to predict house prices based on multiple influencing factors. These factors include location, property size, number …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 Read article
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Machine Learning Based House Price Forecasting
Abstract: This research endeavours to craft a predictive model leveraging machine learning to estimate the market value of houses in Delhi. By integrating Python and its powerful libraries, pandas for data processing, Plot for interactive visualizations, scikit-learn for implementing machine learning algorithms, XGBoost for boosting the model's prediction accuracy, and to evaluate the model's performance cross-validation techniques are used. An interactive user interface is created using a Flask web application to …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 5–11 Read article
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Super Built-Up Area: Examining Its Role in Real Estate Development and Urban Planning Strategies
Abstract: The concept of Super Built-Up Area (SBA) has become pivotal in contemporary real estate development and urban planning strategies. Defined as the total area encompassing the built-up area of an apartment along with common areas like corridors, staircases, and amenities shared among residents, SBA influences both the economic viability of real estate projects and the spatial dynamics of urban landscapes. This study investigates the multifaceted role of SBA in shaping …
Published in International Journal of Urban Design and Development · Vol. 2, Issue 2, 2024 · pp. 01–15 Read article
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Growth of Individual House Builders (IHB) in Raigad Districts
Abstract: The study delves into the dynamic landscape of individual house builders (IHBs) in Raigad district, exploring the substantial growth within the real estate industry and its related sectors. The emphasis is on residential structures, ranging from bungalows to row houses and small individual buildings, designed to accommodate diverse family structures. This surge in construction activities is attributed to factors such as the abundant availability of land, improved connectivity, burgeoning employment …
Published in International Journal of Rural and Regional Development · Vol. 1, Issue 2, 2023 · pp. 15–23 Read article
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House Price Prediction Using Linear Regression In Machine Learning
Abstract: In the modern world, real estate is among the most important investments, particularly in a city like Chennai, which is where many people aspire to work and settle down. Due to people's high purchasing power, this will cause property prices to rise daily. When purchasing a home, buyers will consider whether or not it will yield a healthy profit margin. Hence, before spending your hard-earned money on any property, it …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 92–100 Read article