A Logistic model for predicting divorce rates among couples, implemented using the sklearn library.
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Updated
Sep 8, 2020 - Jupyter Notebook
A Logistic model for predicting divorce rates among couples, implemented using the sklearn library.
DIVORCE PREDICTION
This project includes scraping and machine learning processes regarding actresses or actors who are getting divorced
A total of 170 couples are included in this dataset, along with the Divorce Predictor Scale variables (DPS), a questionnaire of 54 questions, A five-point scale was used to measure all responses.
It is just a fun project i did to start learning Machine Learning.
A project on predicting divorce using the General Social Surveys
This is a divorce predictor using a neural network. The moded is trained on the UCI dataset using tensorflow, then converted to tfjs. (This is the model used in the Divorsee app.)
Jumlah Kasus Perceraian Berdasarkan Faktor Penyebab di Jawa Barat 2017 - 2023 dengan menggunakan algoritma support vector machine (SVM)
Private divorce predictor using tensorflow on a prerendered Angular progressive web app.
Predicting American Divorce from the American Community Survey
Use the K Nearest Neighbors algorithm to predict the probability of a divorce with high accuracy.
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