Vishalchau2003/Heart-disease-prediction-using-machine-learning ? reverse-engineered prompt

Build me a simple heart disease prediction project using the Framingham Heart Study data.

I want it to load the CSV, clean missing values, train a logistic regression model, and predict whether a person is at risk of heart disease based on the health columns in the dataset. Please include the full workflow in a notebook, from reading the data and splitting features and target, to training, testing, and showing the results clearly. I’d like to see the model accuracy and a confusion matrix, and it would be great if you also add a few basic charts so the output is easy to understand.

Keep it beginner friendly, since I want to be able to run it in Google Colab. If anything needs a current library detail or best practice, please look up the latest docs online. Also make sure the code is clean and easy to follow so I can reuse it later or turn it into a simple app if needed.