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.
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Clone the repository or download the files.
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Ensure that you have Python and the required libraries installed. You can install the dependencies using the following command:
pip install tensorflow numpy matplotlib
- Run the
main.pyscript to train the deep learning model and make House Price prediction.
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 are welcome. If you encounter any issues or have ideas for improvements, feel free to open an issue or submit a pull request.