A neural network implemented on the DASH platform that predicts the presence or absence of ovarian cancer.
Python libraries were used in this project:
- PyTorch
- Sklearn
- Pandas
- Numpy
(balanced accuracy = 0.91)
The model was compiled into an installable python package .whl
The project was compiled to a docker image.