Heart Disease Predictive Analysis

This project takes a heart disease dataset and makes predictions based on it using Machine Learning.

Link to project 👉🏾 Heart Disease Predictive Analysis Google Colab Link

Technology Used

• Python (Numpy, pandas, matplotlib)
• Machine Learning Models:
  • Bagging Meta-Estimator, Logistic Regression and Multi-Layer Perceptron

The Analytic Pipeline

1. Data Transformation - Renamed columns to increase readability.
2. Feature Engineering - Featues which didn't have an impact on the label were removed.
3. Principal Component Analysis - Applied PCA to ensure a high quality of features.
4. Model Selection - A suitable algorithm was chosen to be trained into a model.
5. Supervised ML - The algorithm was trained into a suitable model.
6. Model Testing - The newly created model was testing using some actual data.