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A Python Machine Learning classification task to predict fall incidents in elderly persons taking into account reports and clinical information. The prediction application is live and usable on Streamlit to predict the possibility of falls in elderly persons.

License: MIT License

Jupyter Notebook 99.25% Python 0.75%
classification-model k-nearest-neighbor logistic-regression machine-learning naive-bayes pandas prediction-model python random-forest sklearn streamlit-webapp support-vector-machine

fall_prediction's Introduction

Hi there, I'm Samson ๐Ÿ‘‹

๐Ÿš€ Welcome to my GitHub profile! I'm a Fullstack Web Developer and Software Engineer with a foundation in Computer Science. My journey has taken me through the exciting realms of Programming, Data Structures and Algorithms, Machine Learning and artificial intelligence. I'm Passionate about design and logic across the spectrum of Web development, with a knack for creating seamless user interfaces and robust functionality. Explore my journey through code, creativity, and innovation. Discover my projects, insights, and the tech-driven solutions I'm passionate about.

What I Do

  • ๐Ÿ’ป Full Stack Developer: Proficient in JavaScript and experienced in crafting immersive user experiences through React.js on the frontend and Node.js on the backend.
  • ๐ŸŽจ Design Enthusiast: Transforming design concepts into captivating web interfaces that bridge form and function.
  • ๐ŸŒ Tech Explorer: Continuously learning and exploring the ever-evolving landscape of technology.
  • ๐Ÿ’ป Actively seeking roles across stack while improving in backend technicality with both JavaScript and Python.

Connect with Me

Let's Collaborate

๐Ÿ” I'm open to collaboration and new opportunities. If you're interested in working together or discussing tech trends, feel free to reach out! email - [email protected]

Fun Fact

โšก I Love Coding

Thanks for stopping by and exploring my profile. Looking forward to connecting with you!

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