House Price Prediction Using Linear Regression

Due to the ever-growing population and people moving to other cities for employment opportunities, housing demand is rising continuously. For individuals who are planning to remain for a significant period of time although not perpetually, in addition to individuals that aren’t interested in taking risks while building is underway, it is important to predict the house price on a long-term temporary basis. The price of a home is closely related to other elements like location, region, and population. The system would forecast the price of the home using the information on the province, length, bedroom count, accommodations, and other elements. This would give a ballpark figure for the property’s expected market value. It could also be used to make comparisons of different properties so that buyers could indeed make good decisions. To estimate the price, previous market dynamics, variation in prices, and future shifts will all be taken into consideration. It’s necessary to have a system to predict house prices because house prices rise every year.