This project explains on how to build a machine learning algorithm for calculating the medical insurance costs. Check out my video on this topic for the complete video explanation.

Medical Insurance Cost Prediction model using the Logistic Regression Model

Testing Hypothesis on Medical Insurance dataset to analyze & gain insights using Normality Test, T-Test, Chi-Square Test etc. Along with Power Analysis to check the statistical significance.

Implementation of Artificial Neural Network Algorithm

i have worked on several machine learning project such as diabetes prediction, optimal crop type for better better yield, medical insurance cost and more. Explore and enjoy

A machine learning project in python on predicting medical insurance costs

Flask ML web app which predicts the probability of 4 diseases and medical insurance cost required.

First portfolio projects from CodeCademy Mchine Learning course - Medical insurance costs. Includes only basic calculations, saving values, printing results, basic statistic. Statistic analysation and data view for NBA trends. Simple online store analyzation.

A project aimed at highlighting Python skills. An analysis of U.S. Medical Insurance costs.

Prediction of medical insurance costs using machine learning techniques to analyze and forecast individual expenses.

Predict medical insurance cost with machine learning. The objective of this case study is to predict the health insurance cost incurred by Individuals based on their age, gender, Body Mass Index (BMI), number of children, smoking habits, and geo-location.

This repository contains the implementation and documentation for the Advanced Medical Insurance Cost Prediction Model II. The project focuses on utilizing advanced machine learning techniques to predict insurance costs based on user-specific demographic and health-related information.