Heart Disease Prediction using Machine Learning with Python

Inspiration

We inspired from "Apple" how the i-watch intimates when the heart rate increases or decreases through heart rate monitor.

What it does

Prediction weather the person is having heart disease or not.

How we built it

We built the code by Python language, by the help of sklearn model, using train_test_split, LogisticRegression, accuracy_score. And using Pandas and numpy in order to read CSV file.

Challenges we ran into

We got typing error, data cleaning process, spliting the data into typing test cases.

Accomplishments that we're proud of

We got high accuracy of prediction of finding heart disease.

What we learned

We got to know how the Hackathons are being conducted. We learned about data_set.

What's next for Heart Disease Prediction using Machine Learning with Python

We try to get more accuracy in coming projects.

Built With

• google-colaboraty
• numpy
• pandas
• python
• sklearn