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open Graph Image
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is In Organization
No
is In Organization
Yes
description
"Buying a house is a stressful thing." We built a model to predict the prices of residential homes in Ames, Iowa, using advanced regression techniques. This model will provide buyers with a rough estimate of what the houses are actually worth. We first analyzed the data to find trends. Then dimensionality reduction was performed on the dataset using PCA algorithm and feature selection module in sklearn package for python 3.5. The final house prices are predicted using linear regression models like Ridge and Lasso. We also utilised advanced regression techniques like gradient boosting using XGBoost library in python 3.5.
description
The library for web and native user interfaces.
homepage
homepage
https://react.dev
url
https://githubhelp/rahulraghatate/housing-sale-price-prediction
url
https://githubhelp/facebook/react
disk Usage
1174
dis kUsage
542506
stargazer Count
16
stargazer Count
225370
forkCount
14
forkCount
45957
watcher Count
3
watcher Count
225370
created At
2017-01-11
created At
2013-05-25
license Info
license Info
MIT License
issues
0
issues
50
languages
1
languages
12
repository Topics
0
repository Topics
6
owner
rahulraghatate
owner
facebook
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owner Avatar
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other
other

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