Machine Learning 🔀 How to Save Man

House Price Prediction using Machine Learning in

Credits • Support • License

Setup

Follow vividly this instructions to set up the project.

VSCode Installation

• Download VSCode
• During the installation, add VSCode to path.

Python Installation

• Download Python
• During the installation, add Python to path.

Extensions Installation

Install the following extensions on VSCode.

• Python
• Pylance
• Jupyter
• Jupyter Notebook Renderers
• GitLens

Install Dependencies

Open the command line and run this command. pip install numpy pandas matplotlib scikit-learn seaborn xgboost

Download Project

Follow one of these ways to get this project to your computer 💻

• Download the project and extract it.
  • Right click and open the project in VSCode
  • Click on the notebook file and run all cells.
• Clone the project using the comand-line, change the present working directory to the cloned project’s directory
  • Open the project in VSCode using the command → code .
  • Click on the notebook file and run all cells.

Project Gallery

Run Web App

Open your project as the present working directory in the terminal and run streamlit run app.py

Credits

This software uses the following open source packages:

Support

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• ML Web App - A Machine Learning Web App for predicting Diabetes.
• ML Web App - A Machine Learning Web App for House Price Predictions.

License

MIT

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