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ML Health Predictor: Utilizes SVM, Naive Bayes, and Random Forest classifiers to predict diseases from symptoms. Includes dataset and function for symptom-based predictions. A practical application of machine learning in healthcare.

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Mini ML Health Predictor

What's This?

This project helps predict diseases based on symptoms using computers. It learns from examples of symptoms and diseases to make guesses about what illness someone might have.

What's Inside?

  • Training.csv: Learn from lots of examples of symptoms and diseases.
  • Testing.csv: Check how good our guessing is.
  • diseasePredict.py: Computer program that does the guessing. It uses math to figure out the best guess.

How to Use?

  1. Get the Code: Download or copy the files.
  2. Install Software: You'll need some special tools installed.
  3. Run the Program: Open diseasePredict.py and follow the instructions to see how it works.

How to Help?

If you have ideas or find problems, tell us here. We're happy to have more people join and make things better!

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ML Health Predictor: Utilizes SVM, Naive Bayes, and Random Forest classifiers to predict diseases from symptoms. Includes dataset and function for symptom-based predictions. A practical application of machine learning in healthcare.

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