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Description:

A simple yet challenging project, to predict the housing price based on certain factors like house area, bedrooms, furnished, nearness to mainroad, etc. The dataset is small yet, it's complexity arises due to the fact that it has strong multicollinearity. Can you overcome these obstacles & build a decent predictive model?

Acknowledgement:

Harrison, D. and Rubinfeld, D.L. (1978) Hedonic prices and the demand for clean air. J. Environ. Economics and Management 5, 81–102. Belsley D.A., Kuh, E. and Welsch, R.E. (1980) Regression Diagnostics. Identifying Influential Data and Sources of Collinearity. New York: Wiley.

Objective:

• Understand the Dataset & cleanup (if required).
• Build Regression models to predict the sales w.r.t a single & multiple feature.
• Also evaluate the models & compare thier respective scores like R2, RMSE, etc.

This dataset contains property sales data, including information such as PropertyID, property type (e.g., Commercial or Residential), tax keys, property addresses, architectural styles, exterior wall materials, number of stories, year built, room counts, finished square footage, units (e.g., apartments), bedroom and bathroom counts, lot sizes, sale dates, and sale prices. Explore this dataset to gain insights into real estate trends and property characteristics.

Data.milwaukee.gov, (2023). Property Sales Data. [online] Available at: https://data.milwaukee.gov [Accessed 9th October 2023].

Open Definition. (n.d.). Creative Commons Attribution 4.0 International Public License (CC BY 4.0). [online] Available at: http://www.opendefinition.org/licenses/cc-by [Accessed 9th October 2023].

Key information about House Prices Growth

• US house prices grew 3.3% YoY in Sep 2025, following an increase of 4.1% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 1992 to Sep 2025, with an average growth rate of -12.4%.
• House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q2 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.

House Price Index YoY in the United States decreased to 1.70 percent in September from 2.40 percent in August of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

The real estate prices in Sweden increased significantly between 2008 and 2023. In 2023, the price index reached 455, with 1990 as base year. This was the first decrease in house prices since 2012. Despite the decline, prices in 2023 were still notably higher than before the COVID-19 pandemic. One of the reasons was the slowdown in construction, which hampered the supply of new homes. Rented dwellings are popular among Swedes Sweden is one of the countries in Europe with the most renters among the population. Only about 64 percent of people lived in an owner-occupied home in 2022. Only a few countries, such as France, Denmark, Germany, and Austria, had lower homeownership rates. How many rooms do Europeans have at home? As of 2021, the European countries which had been reported to have the highest number of rooms per person were Ireland and Malta, with 2.3 rooms per person on average. Sweden ranked fifteenth on the list, where the average number of rooms per person was 1.9.

During the observed period, the highest annual increase in residential property prices in Poland's primary market was recorded in the first quarter of 2024, with apartment prices increasing by over **** percent year-on-year. The highest growth in the secondary market was also recorded in the first quarter of 2024, at **** percent y/y. In the second quarter of 2025, the prices of residential properties increased by nearly *** percent compared to the same period last year.

Introduction

This dataset provide information the property of different houses and their selling prices.Through this dataset, we can understand how factors like bedrooms, bathrooms, area, and furnishing affect the price of a house.This dataset is beneficial for those student who learn prediction of price through data analysis or machine learning.

Context

One of the most frequent problems in the real estate sector is figuring out what influences property values. This dataset is used to construct prediction models that forecast property prices based on particular qualities and provides important insights into the housing market.

Content

• price:Selling price of the house
• area:Total area (in square feet)
• bedrooms:Number of bedrooms
• bathrooms:Number of bathrooms
• stories:Total floors in the house
• mainroad:Whether the house is connected to the main road (yes/no)
• guestroom:Availability of a guest room
• basement:Availability of a basement
• hotwaterheating:Whether hot water heating is available
• airconditioning:Whether air conditioning is available
• parking:Number of parking spaces
• prefarea:If the house is in a preferred area
• furnishingstatus:Furnishing condition (furnished, semi-furnished, unfurnished)

In Q4 2024, the real estate price index in Germany was ***. This means that prices rose by ** percent compared to the baseline of Q1 2004. This was virtually unchanged from the previous year.

Housing Index in the United Kingdom increased to 517.10 points in October from 514.20 points in September of 2025. This dataset provides - United Kingdom House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Housing Index in Italy increased to 116.40 points in the second quarter of 2025 from 113.30 points in the first quarter of 2025. This dataset provides - Italy House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Germany Residential Real Estate Market is Segmented by Property Type (Apartments & Condominiums and Villas & Landed Houses), Price Band (Affordable, Mid-Market and Luxury), Business Model (Sales and Rental), Mode of Sale (Primary and Secondary), and Key Cities (Berlin, Hamburg, Munich, Cologne, Frankfurt, Dusseldorf, Leipzig and Rest of Germany). The Market Forecasts are Provided in Terms of Value (USD).

Graph and download economic data for All-Transactions House Price Index for Minnesota (MNSTHPI) from Q1 1975 to Q3 2025 about MN, appraisers, HPI, housing, price index, indexes, price, and USA.

India's residential house prices - quarterly and annual changes in house prices across cities, expert analysis and comparison with global peers.

Housing Index in Romania increased to 162.38 points in the second quarter of 2025 from 161.75 points in the first quarter of 2025. This dataset provides - Romania House Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

View monthly updates and historical trends for US House Price Index. from United States. Source: Federal Housing Finance Agency. Track economic data with …

This dataset provides insights into the global housing market, covering various economic factors from 2015 to 2024. It includes details about property prices, rental yields, interest rates, and household income across multiple countries. This dataset is ideal for real estate analysis, financial forecasting, and market trend visualization.

📑 Column Descriptions

The China Residential Real Estate Market is Segmented by Property Type (Apartments & Condominiums and Villas & Landed Houses), Price Band (Affordable, Mid-Market and Luxury), Mode of Sale (Primary and Secondary), Business Model (Sales and Rental) and Key Cities (Shenzhen, Beijing, Shanghai, Hangzhou, Guangzhou, and Other Key Cities). The Market Forecasts are Provided in Terms of Value (USD).

Graph and download economic data for All-Transactions House Price Index for Las Vegas-Henderson-Paradise, NV (MSA) (ATNHPIUS29820Q) from Q1 1978 to Q3 2025 about Las Vegas, NV, appraisers, HPI, housing, price index, indexes, price, and USA.

New housing price index (NHPI). Monthly data are available from January 1981. The table presents data for the most recent reference period and the last four periods. The base period for the index is (201612=100).