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Predicting insurance premiums using machine learning algorithms. It involves analyzing various factors such as age, medical history, lifestyle, and coverage details to estimate the cost of insurance for individuals or groups.
This repository contains the analysis of an insurance dataset, exploring factors affecting insurance premiums, including smoking habits, BMI, and regional trends. The project utilizes various data analysis and machine learning techniques to derive insights.
This project is an automated e-mail sender for an Insurance company. The script reads some Excel files and prepares attachments to send to the clients via e-mail.
This is a small portfolio. As of today, you can find a data analytics project (we studied the variable cause of death in the U.S simulating a life insurance problem) and a neural network problem where we train a neural network to detect if certain block/brick structure is stable.
Insurance company chat-bot that answers questions, books appointment, retrieved information from SQL Database and uses Google Places API to get Hospitals and Pharmacies information, Created using Microsoft Bot framework.
Data Mining project made with the aim of segmenting customers from an insurance company and help them develop marketing strategies to avoid churn. Authors: Catarina Duarte | Susana Dias | Lisbon, Portugal | January 2023
With rapidly growing insurance expenditure, it’s time to take action to curb the rise in insurance premium costs to improve USA citizen's whole welfare with AI.