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Predicting Health Insurance Costs Using Machine Learning | Full Python Data Science Project (84% R²)
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End-to-End Data Science Projects with Python - Predicting Health Insurance Costs Using Machine Learning | Full Python Data Science Project (84% R²)

5.0 (1)
15 learners

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This course includes

  • 25.3 hours of video
  • Certificate of completion
  • Access on mobile and TV

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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/InsuranceData Thanks for watching my video. I share new Data Science videos weekly, you can subscribe for more videos like this. You can check the channel playlists for more videos like this. Data Science YouTube Playlists: Data Science Full Courses & Projects: https://youtube.com/playlist?list=PLTsu3dft3CWiow7L7WrCd27ohlra_5PGH&si=aPLdKzzm6d3STiVw Machine Learning Tutorials (Python Scikit-learn): https://youtube.com/playlist?list=PLTsu3dft3CWhSJh3x5T6jqPWTTg2i6jp1&si=wUQEzzLtGCQMofP5 AI Tutorials (LLMs, LangChain and OpenAI): https://youtube.com/playlist?list=PLTsu3dft3CWhAAPowINZa5cMZ5elpfrxW&si=eB977ZjQ9P6Tg-zY Data Analysis Tutorials (Python Pandas): https://youtube.com/playlist?list=PLTsu3dft3CWhwPJcaAc-k6a8vAqBx2_0t&si=c-xOry-7zyTxc2VJ Data Science Interview Exercises (Questions & Answers): https://youtube.com/playlist?list=PLTsu3dft3CWhXwqyqlHvAuaiIuZ1NHS2P&si=-SZJIS9xxnClX9Xg Data Science & Machine Learning Projects: https://youtube.com/playlist?list=PLTsu3dft3CWg69zbIVUQtFSRx_UV80OOg&si=_iZwYDowXBUE5I-9 Python Time Seires Analysis: https://youtube.com/playlist?list=PLTsu3dft3CWibrBga4nKVEl5NELXnZ402&si=Y28xzOF25F_aR37f Natural Language Processing (NLP): https://youtube.com/playlist?list=PLTsu3dft3CWjYPJi5RCCVAF6DxE28LoKD&si=2-gVxeZ-SxniCNMf Deep Learning with PyTorch: https://youtube.com/playlist?list=PLTsu3dft3CWghrjn4PmFZlxVBileBpMjj&si=ERBNHuuI7BPNx_EF Check my Data Science courses from here: https://www.onurbaltaci.com/courses Udemy Courses Data Science Projects: https://www.udemy.com/course/data-science-projects-3/?referralCode=AEC736448BA104C3EC3F Data Analysis Interview: https://www.udemy.com/course/data-analysis-interview/?referralCode=3270B750A08BE82F7994 Python for Data Analytics: https://www.udemy.com/course/python-for-data-analytics/?referralCode=0782B89299FFF7561184 Machine Learning with Python: https://www.udemy.com/course/python-machine-learning-course/?referralCode=09455A4817E14D6B83D8 Python Programming: https://www.udemy.com/course/python-basics-i/?referralCode=3C8A77721CCEA802B372 Time Series Analysis: https://www.udemy.com/course/python-for-time-series/?referralCode=439816EE7E65C91F1B55 Natural Language Processing (NLP): https://www.udemy.com/course/python-natural-language-processing/?referralCode=AFFEAA30617CA01E6819 I share Data Science content (short videos, articles and projects) on Instagram: https://www.instagram.com/datascience_101/ Some other videos I published: Python Data Science Bootcamp (7+ Hours): https://www.youtube.com/watch?v=6gDLcTcePhM Python PySpark Big Data Analytics Course: https://www.youtube.com/watch?v=jWZ9K1agm5Y&t=2009s Python Polars Big Data Analytics Course: https://www.youtube.com/watch?v=aiHSMYvoqYE Python Plotly Data Visualization Course: https://www.youtube.com/watch?v=W_qQTKupZpY Python Data Analysis Project: https://www.youtube.com/watch?v=xuSx4jpsTz8 Python Machine Learning Project: https://www.youtube.com/watch?v=47EzTeIuHYo Python Data Science Project: https://www.youtube.com/watch?v=9-IQJu-6vhw MySQL Course: https://www.youtube.com/watch?v=3HX9rOQiKOs Join to the data discord server: https://discord.gg/BaVm6Rt4h8 My website: https://www.onurbaltaci.com 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

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