Inspiration
Heart plays significant role in living organisms.Diagnosis and prediction of heart related diseases requires more precision,perfection and correctness because a little mistake can cause fatigue problem or death of the person.
What it does
we have to collect data from the patient age,gender,blood pressure,etc..by these attributes we can predict whether patient is having heart disease or not.
How we built it
in this project we have used numpy ,pandas, sklearn ,machine learning model(logistic regression). its gives good accuracy and we can choose different models also.
Challenges we ran into
Accomplishments that we're proud of
we got good accuracy for classification the training data and test data.
What we learned
we have learned about how we can divide dataset into train data and test data and how we are applying machine learning models and classifying the given statement
What's next for heart disease prediction
we are planning to create a website for heart disease prediction.
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