Machine learning algorithms use data to make predictions. It has been used in several sectors, including real estate. It is useful for predicting real estate values because it can account for complex patterns and trends in data that may not be visible to humans.
It helps identify changes in the market that may not be obvious to people observing the data daily. It also helps in identifying patterns that are specific to certain areas or neighborhoods. It helps in predicting which areas will experience the most growth or decline in value over time. Because of these reasons, we used this algorithm in developing Estater Meter.
Several factors can affect the property values, including economic conditions, local government regulations, and demographic trends. Estater Meter, with machine learning, can help predict which of these factors will have an impact on specific areas and then take appropriate action.