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  license: apache-2.0
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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  ## Disease_classifier_based_on_symptoms:
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- #### - Disease classification is a ML approach to predict or diagnose the disease using the symptoms.
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- #### - I have used Random Forest Classifier in this project and the UI is created using Streamlit.
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  ## Links:
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- #### Hugging face: https://huggingface.co/spaces/30Kanika/disease-classifier
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- #### Kaggle dataset of disease and it's symptoms: https://www.kaggle.com/datasets/karthikudyawar/disease-symptom-prediction
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  ## Steps to use Hugging face:
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  #### STEP 1 -After you open the hugging face link ,it will ask you to enter the symptoms you are facing.
 
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  license: apache-2.0
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  ## Disease_classifier_based_on_symptoms:
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+ - #### Disease classification is a ML approach to predict or diagnose the disease using the symptoms.
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+ - #### I have used Random Forest Classifier in this project and the UI is created using Streamlit.
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  ## Links:
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+ - #### [Hugging face πŸ€—](https://huggingface.co/spaces/30Kanika/disease-classifier)
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+ - #### [Kaggle dataset πŸ“˜](https://www.kaggle.com/datasets/karthikudyawar/disease-symptom-prediction)
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  ## Steps to use Hugging face:
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  #### STEP 1 -After you open the hugging face link ,it will ask you to enter the symptoms you are facing.