Use the pre-trained models instead of building your own model for the hackathon
This repository contains the boilerplate code for the Mortality Dataset. You can refer to the kaggle workspaces to fetch/download your data.
| FileName | Functionality |
|---|---|
| App.py | Contains the HTTP server |
| model-train.ipynb | Notebook for training |
| model.json | Saved model |
| model.h5 | Saved weights of the previous training |
| Requirements.txt | Dependencies used |
- Install dependencies
pip install -r requirements.txt- Test the server
python app.py- Train the model Open the Jupyter Notebook and tune the model for higher accuracy
- Save the model
model.save()- Test the model
- Deploy it
Once you've completed tuning the model for higher accuracy, you can train the model on: