House price forecasting is an important topic of real estate. The literature attempts to derive useful knowledge from historical data of property markets. Machine learning techniques are applied to ...

Python-Project Data Visualization Project using Python (Pandas & Matplotlib) While exploring real-world datasets, I identified the need to present insights in a visually compelling manner to better ...

Sales of previously occupied U.S. homes rose in July as homebuyers were encouraged by a modest pullback in mortgage rates, slowing home price growth and more properties on the market ...

Contribute to kpapan/Used-cars-price-prediction-python development by creating an account on GitHub.

In June 2021, during the Pandemic Housing Boom, only 11.4% of homes for sale had a price cut. By June 2025, that share rose to 25.6%.