https://github.com/michal-wrzosek/real-estate-price-prediction

WREPPA - Warsaw Real Estate Price Prediction App (Machine Learning)
https://github.com/michal-wrzosek/real-estate-price-prediction

flask jupyter-notebook machine-learning neural-network node-js real-estate scikit-learn

Last synced: 9 days ago
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WREPPA - Warsaw Real Estate Price Prediction App (Machine Learning)

• Host: GitHub
• URL: https://github.com/michal-wrzosek/real-estate-price-prediction
• Owner: michal-wrzosek
• Created: 2019-04-20T17:20:43.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-04-20T17:21:09.000Z (almost 6 years ago)
• Last Synced: 2024-12-20T05:02:45.258Z (about 1 month ago)
• Topics: flask, jupyter-notebook, machine-learning, neural-network, node-js, real-estate, scikit-learn
• Language: Jupyter Notebook
• Homepage:
• Size: 14.4 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Warsaw's Real Estate Price Prediction Neural Network

*by Michal Wrzosek from Wrzosek Real Estate Agency*

This repository keeps in one place files used to scrape real estate data, analyze data, create a prediction model and simple web app to serve as a simple website where you can interact with the model.

Stack:

- Python

- Scikit Learn

- Jupyter Notebook

- Node.js

- Flask

[Model Development Notebook](jupyter-notebook/dataOnMap.ipynb)

## Building a Neural Network

In order to build my own network I was following mostly those resources.

Links:

- [GitHub](https://github.com/cloudxlab/ml/blob/master/machine_learning/end_to_end_project.ipynb)

- [YouTube](https://www.youtube.com/watch?v=_zZFm90AwDs&list=PLFhNzVKP1pVrNU8cTL_t-8YzPLF8i8PaS&index=11)

## Docker image

We're using Jupyter Notebook + Tensorflow & Keras image: `tensorflow-notebook:5ed91e8e3249`

Based on this image we're building our image where we're adding some more useful packages.

To build: `npm run build`

To start: `npm run start`

Navigate to `http://localhost:8888` and paste `token` that was printed in your console.

Links:

- https://github.com/jupyter/docker-stacks

- https://github.com/jupyter-widgets/ipyleaflet

- https://ipyleaflet.readthedocs.io/en/latest/