Flask ML web app which predicts the probability of 4 diseases and medical insurance cost required.
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Updated
Aug 31, 2021 - Jupyter Notebook
Flask ML web app which predicts the probability of 4 diseases and medical insurance cost required.
A project aimed at highlighting Python skills. An analysis of U.S. Medical Insurance costs.
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.
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.
Medical Insurance Cost Prediction model using the Logistic Regression Model
A machine learning project in python on predicting medical insurance costs
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
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.
Prediction of medical insurance costs using machine learning techniques to analyze and forecast individual expenses.
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