Predict housing prices in boston.
Project description
Boston Housing Prediction
Predict Housing prices in boston with different Models.
Boston Housing Prediction is a python script that can predict the housing prices in boston with different models, the user can choose from.
Installation
You need to have python >= 3.5
installed.
To install the requirements
for the script do:
$ pip install -r requirements.txt
Download the latest release of the script boston-housing-X_X_X.py
You can also download the script under release.
Usage example
You can run the programm with(The X stand for the version):
$ py boston-housing-X_X_X.py linear_regression
To see the help(for extra options) do:
$ py boston-housing-X_X_X.py -h
Release History
-
0.2.0
- release of polynomial_model
-
0.1.2
- bugfixes #4, #5
- serperated code in diffeent files for more clarity. See code folder
-
0.1.1
- added functionality to load models without training
- plots are now outsourced and handled by a different kernel
- dataset gets automatically downloaded when missing
- v_data shows 4 different plots to describe the data(previously 2).
-
0.1.0
- The first proper release
- Realese of readme (Thanks @dbader)
-
0.0.1
- Work in progress
Roadmap (planned updates)
-
Add more models
- polynomial regression
- normal equation
- svm
- neural network
-
Upload pre-trained models
Meta
Distributed under the MIT license. See LICENSE
for more information.
Contributing
- Fork it (https://github.com/LuposX/BostonHousingPrediction/fork)
- Create your feature branch (
git checkout -b feature/fooBar
) - Commit your changes (
git commit -am 'Add some fooBar'
) - Push to the branch (
git push origin feature/fooBar
) - Create a new Pull Request
Project details
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Source Distributions
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