How Machine learning is useful in predicting prices of real estate ?
The real estate market is a standout amongst the
most focused regarding pricing and keeps fluctuating. It is one
of the prime fields to apply the ideas of machine learning on
how to enhance and foresee the costs with high accuracy. There
are three factors that influence the price of a house which
includes physical conditions, concepts and location.
Machine learning is extensively used in this
approach. Machine learning means providing valid dataset and further on predictions are based on that,
the machine itself learns how much importance a
particular event may have on the entire system based
on its pre-loaded data and accordingly predicts the
result. we can make optimal use of Linear Regression, Forest
regression, Boosted regression. The efficiency of the
algorithm has been further increased with use of
Neural networks. The system will satisfy customers
by providing accurate output and preventing the risk
of investing in the wrong house.
