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The process used to generate predicted labels in the inference.py script does not seem to take multi-label classification into account. The ground truth labels contain probabilities for multiple lesio…
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Project Lead:
Fatma Omar
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Github username: @Fatma366
Team Member(s):
Adolf Oyesigye Mukama
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Github username: @adolfmukama
Mentor:
Sebastián Ayala Ruano
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### Hey 👋, I am a Hacktoberfest'23 contributor
## What?
I would like to implement Hyperparameter tunning and train the model using the SVM algorithm using linear and RBF Kernel
- ### Algori…
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**Submitting authors:** @eahn01 @dliviya @rpeng35 @nikizamani
**Repository:** https://github.com/DSCI-310/DSCI-310-Group-2
**Abstract/executive summary:**
Common heart diseases include diseas…
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I will use the Rice Leaves image dataset to
train the CNN Model to predict the disease.
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This issue contains monthly updates to the ranked list of PubMed papers for curation. The full list can be found [here](https://github.com/tanayshah2/bioregistry/blob/5560dcf284f2c0309287e0a5a551e435e…
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### Project Name
Symptom Checker
### Description
Our RAG app is a symptom checker that helps users identify potential diseases based on the symptoms they input. We utilized publicly available…
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### Ticket Contents
## Protean Overview
Protean eGov Technologies Limited provides IT services. The Company offers citizen services, e-governance solutions, system integration, business process re…
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The disease prediction has to be redesigned such that it looks more appealing and engaging. Just have to create a prototype for this.
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Make a ML model that predicts the disease of heart with highest accuracy