Many Students, families, and millennials face the problem of finding appropriate houses on rent when they shift to other cities for work or educational purposes. They need to pay unnecessary broker charges our aim is to provide good quality houses without brokage charges
What it does
our model predict the price range of a house on the basis of its features
How we built it
we are provided with a dataset on which we have performed data analysis
Challenges we ran into
we worked with dataset which was not familiar to us. we completed our project in limited amount of time
Accomplishments that we're proud of
We achieved R2 score = 0.0003 Score on Train data = 0.95 Score on Test data = 0.94
What we learned
We learn how to develop practical project.
What's next for NO BROKERS
Expansion to small cities. and better user experience
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