Heart_Disease_Prediction #44
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This is an heart disease prediction model which is made by Logistic Regression and python libraries like numpy , pandas. It also consist of machine learning libraries also like sklearn.
This is an heart disease prediction model which is made by Logistic Regression and python libraries like numpy , pandas. It also consist of machine learning libraries also like sklearn.
|
I’m eager to contribute to the Heart Disease Prediction project with my data analysis and machine learning expertise. Please consider assigning me to this impactful initiative. |
|
@Sudiksha18 merged! |
|
🎉 Your pull request has been successfully merged! 🎉 Thank you for your valuable contribution to our project. Your efforts are greatly appreciated. Feel free to reach out if you have any more contributions or if there's anything else we can assist you with. Keep up the fantastic work! 🚀 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Heart disease prediction using machine learning involves analyzing medical information like age, blood pressure, and cholesterol levels to forecast the likelihood of someone having heart issues.
[By training computer models with this data, we can create systems that help identify individuals at risk of heart disease, aiding in prevention and early intervention