This repository contains the implementation of the final project for the Fundamentals of Data Science course at Sapienza University of Rome, a.y. 2021/2022
The goal of this project is predict if a patient is at risk for heart disease based on clinical data since the value for heart disease risk is binary (YES/NO). To reach the goal we intend apply logistic regrassion, GDA and eventualy explore others methods (es. Naive Bayes)
- 6th December: Fist presentation
- 17th December: Second presentation
- 26th December: Written report submitted
Heart Failure Prediction Dataset
- Dealing with missing values in Python
- Guide to Encoding Categorical Values in Python (we're not using that yet)
- Tuning Linear Discriminant Analysis
- Elios Buzo
- Laurentiu Adrian Cristurean
- Anthony Giusti
- Ludovico Lentini
- Michele Spina