Predicting Health Insurance Costs Using Machine Learning | Full Python Data Science Project (84% R²)
In this project, I show you how to predict health insurance costs using Python and machine learning, taking you step by step from data cleaning and exploration to building and evaluating predictive models. We achieve an R² score of 84%, and I also demonstrate how to deploy the model as an interactive web app using Streamlit, so you can see predictions in action. Whether you’re learning data science, practicing machine learning, or looking for a real-world Python project for your portfolio, this video has everything you need to follow along and build your own health insurance cost predictor.
Dataset: https://github.com/Onurbltc/Insurance...
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Chapters:
00:00:00 Introduction
00:00:26 Dataset Information
00:01:50 Exploratory Data Analysis (EDA)
00:27:02 Data Preprocessing & Feature Engineering
00:32:41 Training Machine Learning Models
00:53:00 ML Model Deployment (Streamlit Web App)
01:06:24 Outro