Packages and Libraries used

1. Python

2. Numpy and Pandas for data cleaning

3. Matplotlib for data visualization

4. Sklearn for model building

5. Jupyter notebook, visual studio code and pycharm as IDE

6. Python flask for http server

7. HTML/CSS/Javascript for UI

Requirements

1. Python
2. pip

Execute

1. Install the Python 3.0.0 packages or higher.

2. Clone the repository in your system.

   git clone https://github.com/sawantvikram/House-Price-Prediction.git
   

3. Open the project directory.

    cd House-Price-Prediction
   

4. Install required packages.

     pip3 install -r requirements.txt
   

5. Run the server.py

   python3 server.py
   

6. Copy and paste the link below in any browser.

   http://127.0.0.1:5000
   

If you like the project then please give the star.