Machine learning is one field that is currently advancing at a breakneck pace. With the help of machine learning,
we can be able to predict the future to a certain level, but sometimes that prediction may be useful or not. In
our project, we try to increase the probability of success by considering various factors that may be related or
not be. Our project scope is housing price prediction using the linear regression algorithm with high accuracy.
We try to achieve better results than before by using preprocessed data. After achieving the desired result, we
decide to examine the data that is already available on the internet. To decrease the difficulty, we are using
statical analysis in our prediction algorithm, so we clearly see the difference between the results
Software And Hardware