https://github.com/anibalalpizar/python-deep-learning-houseprice-prediction

Meters to price predictions using Python and deep learning.
https://github.com/anibalalpizar/python-deep-learning-houseprice-prediction

deep-learning deep-neural-networks python tensorflow

Last synced: 16 days ago
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Meters to price predictions using Python and deep learning.

• Host: GitHub
• URL: https://github.com/anibalalpizar/python-deep-learning-houseprice-prediction
• Owner: anibalalpizar
• Created: 2023-06-17T03:37:57.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2023-06-17T03:44:01.000Z (over 1 year ago)
• Last Synced: 2024-11-11T05:27:32.187Z (2 months ago)
• Topics: deep-learning, deep-neural-networks, python, tensorflow
• Language: Python
• Homepage:
• Size: 1000 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Python Deep Learning House Price prediction

This project implements a House Price prediction using deep learning techniques in Python with TensorFlow. The model utilizes a dense layer with one unit to perform the temperature House Price prediction.

## Installation

1. Clone the repository or download the files.

2. Ensure that you have Python and the required libraries installed. You can install the dependencies using the following command:

``pip install tensorflow numpy matplotlib``

3. Run the `main.py` script to train the deep learning model and make House Price prediction.

## Usage

The `main.py` script contains the main code of the project. When executed, the model will be trained using a predefined set of meters and price data. Subsequently, a plot of the loss magnitude during training will be displayed.

After training, the deep learning model can be used to make conversion predictions by providing input values in price.

## Contributions

Contributions are welcome. If you encounter any issues or have ideas for improvements, feel free to open an issue or submit a pull request.