Memprediksi nilai premi asuransi kesehatan (nilai biaya) dengan Machine Learning dan Deep Learning
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Updated
May 11, 2024 - Jupyter Notebook
Memprediksi nilai premi asuransi kesehatan (nilai biaya) dengan Machine Learning dan Deep Learning
This is a web app where a user can signup to the website first and then login to access the website. Then, he/she can give their age, select his/her gender, bmi, number of children, select whether he/she is a smoker or not, and select his/her region. Gradient Boosting Regressor is used in this project which gives the best accuracy of 89.798.
A GitHub repository hosting an insurance prediction model employing Decision Tree, Random Forest, and KNN algorithms, with KNN achieving the highest accuracy score of 87.7% and tested for response on unseen data.
Prudential Life Insurance Assessment Prediction
This is a school project of mine. I decided to do a process of data analysis & visualizations, feature engineering, model creation/testing, model evaluation, and metrics visualizations.
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