https://github.com/keyurparalkar/linear-regression-with-tensorflow
House price prediction in boston
https://github.com/keyurparalkar/linear-regression-with-tensorflow
linear-regression machine-learning tensorflow
Last synced: 2 months ago
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House price prediction in boston
- Host: GitHub
- URL: https://github.com/keyurparalkar/linear-regression-with-tensorflow
- Owner: keyurparalkar
- Created: 2017-12-12T15:09:02.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-12-12T18:22:49.000Z (over 8 years ago)
- Last Synced: 2025-05-30T07:25:02.232Z (about 1 year ago)
- Topics: linear-regression, machine-learning, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 18.6 KB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Linear Regression using tensorflow.
This project focuses on predicting the prices of houses in boston area. Dataset used in this project is boston housing dataset which is also present on scikit-learn library which can be imported into the project using load_boston() function.
## Getting Started
For this project make sure thorough knowledge of machine learning algorithms like linear regression, Logistic regression etc is present. Basic knowledge of tensorflow is must to understand this project. Apart from this, implmentation details of dataset extraction must be known like usage of numpy, pandas and other standered python libraries.
### Prerequisites
Packages needed:
```
Jupyter notebook
tensorflow library
numpy
pandas
scikit-learn
matplotlib
```
### Running the project
Make sure [ipython notebook](http://jupyter.org/) is installed in the system.
Type following command in the terminal.
```
git clone https://github.com/keyurparalkar/Linear-Regression-with-tensorflow.git
cd [to_the_project_path]
jupyter notebook
```