Boston_housing is a project result submission for Udacity Boston Housing project. It is a worksheet in Jupyter Notebook, in which we will use techniques to evaluate the performance and predictive power of a machine learning model that has been trained and tested on data collected from homes in suburbs of Boston, Massachusetts.
This project uses python 2.7.12. Clone the GitHub repository and use Pip to install jupyter
$ git clone https://github.com/diyjac/boston_housing.git
$ pip install jupyter
Boston_housing project results can be viewed by opening its jupyter notebook.
$ jupyter notebook boston_housing.ipynb
No further updates nor contributions are requested. This project is static.
Boston_housing project results are released under the MIT License