Binary-Classification-using-keras

Project Title

This project executes binary classification with the make_moon dataset using keras Neural network library.

Prerequisites

The prerequisites to executing this code include, installing scikit learn (for importing dataset), keras for the classification and tensorflow to execute callbacks

Scikit-Learn
Keras
tensorflow

Installing Dependencies

To install the dependencies to run this code,
scikit-learn
keras
TensorFlow

pip install -U scikit-learn
pip install Keras

For TensorFlow alone, follow the instruction in the link as it requires creating a virtual environment to run.

Running the code

To run the code, download the file, and open jupyter notebook to run the code. Execute the first cell to check whether the dependencies are installed properly. Then execute the rest of the code to visually observe the classification.

Authors

• Rajaram Sivaramakrishnan - raja1196

License

This project is licensed under the MIT License - see the LICENSE.md file for details