https://github.com/bhattbhavesh91/boston-housing-prediction-linear-regression

Predicting Boston Housing Prices using Linear Regression
https://github.com/bhattbhavesh91/boston-housing-prediction-linear-regression

boston-housing-prediction linear-regression linear-regression-python

Last synced: 2 months ago
JSON representation

Predicting Boston Housing Prices using Linear Regression

• Host: GitHub
• URL: https://github.com/bhattbhavesh91/boston-housing-prediction-linear-regression
• Owner: bhattbhavesh91
• License: gpl-3.0
• Created: 2017-08-12T11:52:41.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2019-10-14T12:54:06.000Z (over 5 years ago)
• Last Synced: 2025-03-29T06:11:20.393Z (3 months ago)
• Topics: boston-housing-prediction, linear-regression, linear-regression-python
• Language: Jupyter Notebook
• Size: 146 KB
• Stars: 10
• Watchers: 3
• Forks: 10
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
## Predicting Boston Housing Prices

This project evaluated the performance and predictive power of a model that has been trained and tested on data collected from homes in suburbs of Boston, Massachusetts. A model trained on this data that is seen as a good fit could then be used to make certain predictions about a home — in particular, its monetary value. This model would prove to be invaluable for someone like a real estate agent who could make use of such information on a daily basis.

### Data

The dataset used in this project is included with the scikit-learn library ([`sklearn.datasets.load_boston`](http://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_boston.html#sklearn.datasets.load_boston)). You do not have to download it separately. You can find more information on this dataset from the [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/Housing) page.