chayandatta/Heart_disease_prediction
Heart Disease prediction using 5 algorithms
This project helps aspiring machine learning practitioners understand the basics of building predictive models. You'll input patient health data, and it will output predictions about the presence of heart disease using various algorithms like Logistic Regression and Decision Trees. It's designed for individuals new to machine learning who want to learn through practical examples.
127 stars. No commits in the last 6 months.
Use this if you are a beginner interested in learning how to apply fundamental machine learning algorithms to a real-world health dataset.
Not ideal if you are an experienced data scientist looking for a production-ready heart disease prediction system or advanced research.
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127
Forks
44
Language
Jupyter Notebook
License
MIT
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Last pushed
Nov 04, 2024
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