boston-housing-prediction 0.2.0a1

Predict housing prices in boston.

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.

https://github.com/LuposX

Contributing

1. Fork it (https://github.com/LuposX/BostonHousingPrediction/fork)
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -am 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request