Using the Reuters dataset, this example illustrates the process of data preprocessing, model definition and training, and performance evaluation.
- News_Data_Classification.ipynb: Jupyter notebook file containing the code for building and training the neural-network model using Reuters dataset for classification.
The model achieved an accuracy of ~ 82% on the test set. This is a good accuracy for this use case and the model can be further improved by tuning the hyperparameters.
To get started, clone the repository and install the required dependencies
In Docker and JupyterLab
git clone https://github.com/lucianoscarpaci/News-Data-ClassificationThis project is licensed under the MIT License.