89artur/predicting_cardiovascular_disease_risk

AI Summary: The task involves developing a machine learning model to predict cardiovascular disease risk using provided training and testing datasets. A FastAPI application needs to be created to provide predictions using the trained model. The issue is that the predictions from the FastAPI application need to be validated against an expected output, but a comparison method is currently missing.

AI Summary: This project involves building a machine learning model to predict cardiovascular disease risk using provided training and testing datasets. The model should be deployed as a FastAPI application, allowing for predictions on new data. The project also requires data preprocessing, model training, evaluation, and a testing script to verify the API's predictions.