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house-price-prediction's Introduction

Docker-portfolio-project

In this project we will create machine learning model to predict House price , and create its interface using Streamlit. After creating the Streamlit app, we shall use docker to deploy it .

Prerequisites

To run this project, you will need to install docker

python

Usage

first go and run House_predict_.ipynb to create model.joblib

 docker build -t streamlitapp:latest .
 docker run  -d -p 8501:8501 streamlitapp:latest

Access to APP

## Built With
  • Docker
  • Streamlit
  • scikit-learn

Authors

Bendra Abdelali

house-price-prediction's People

Contributors

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