국민건강보험 데이터를 활용한 EDA
-
Updated
Jun 23, 2020 - Jupyter Notebook
국민건강보험 데이터를 활용한 EDA
Quoting engine for short term and monthly policies. This engine generated all quotes for a small insurance agency.
This is the code of a group university project on insurance premiums I took part in. Nonparametric statistics has been used for the data analysis and a shiny app has been implemented to show health insurance premium predictions. I thank Anna Iob, Martina Garavaglia and Veronica Mazzola who have partecipated in the project realisation.
Predicting the cost of medical insurance
Built a Medical Insurance Cost Prediction tool using Linear Regression on data from a Kaggle dataset
A decentralised insurance system where all users can send stream form of premiums and receive payments instantly after a natural disaster strikes without having to contact centralised companies and obtain confirmation of funds.
Generate a machine-readable .txt blocklist of websites affiliated with unregulated persons who, based on information received by the Monetary Authority of Singapore (MAS), may have been wrongly perceived as being licensed or regulated by MAS.
A ML model to predict whether the clients will subscribe to insurance or not.
POC app to perform insurance claims for users via USSD, SMS, or Telegram.
This repository contains a Python application that uses an XGBoost classifier to make predictions based on a CSV dataset. The application is designed to run on your local machine and use it for making predictions.
Using ML to predict annual income
PHP ile admin panelli sigorta acentesi projesi geliştirelim.
Insurance Risk Assessment. Predicting insurance policy claims. Using machine learning and customer data to predict whether insurance policy holders will initiate an auto insurance claim within the next year.
Claim Risk Identification
Add a description, image, and links to the insurance topic page so that developers can more easily learn about it.
To associate your repository with the insurance topic, visit your repo's landing page and select "manage topics."