This is a divorce predictor using a neural network. The moded is trained on the UCI dataset using tensorflow, then converted to tfjs. It runs on a python jupyter notebook.
This project is self-contained. It has both the data and the code. All you need to meet the prerequisites and run the jupyter notebook cells in train.ipynb.
Python>=3.8.6
math
pandas
numpy
tensorflow
tensorflowjs
This is the model was trained and converted to tfjs to be used on the Divorsee client-side web app. It runs live here and its repository is here.
Yöntem, M , Adem, K , İlhan, T , Kılıçarslan, S. (2019). DIVORCE PREDICTION USING CORRELATION BASED FEATURE SELECTION AND ARTIFICIAL NEURAL NETWORKS. Nevşehir Hacı Bektaş Veli University SBE Dergisi, 9 (1), 259-273. Retrieved from dergipark.org.tr/nevsosbilen/issue/46568/549416