Heart disease detection model

[AkUp007]

Using the relevant dataset, a machine learning model has been trained to detect whether a person is suffering from heart disease or not. The model has been trained using two classification techniques: K-Nearest Neighbors (KNN) and Random Forest Classifier. After performing feature scaling and Exploratory Data Analysis (EDA), the model achieved an accuracy of 99%.

[AkUp007]

@Mubashir-Ul-Hassan hey can you assign me this issue as i have worked on it? I would be grateful if you could assign me this issue by adding hacktoberfest tag to it.

[Mubashir-Ul-Hassan]

@MJakash thank you for your time.
It is assigning to you.