Hybrid-Approach-for-Multi-Disease-Analysis

o Developed a cutting-edge Hybrid Model for multi-disease analysis using Python 3, integrating Gradient Boost, Random Forest and Neural Network algorithms to accurately classify and predict various health conditions including Diabetes, Anaemia, Thalassemia, Thrombocytopenia and heart disease.

Model Performance with dataset-1 - Sample.csv (Multi Disesases)

Model Performance with dataset-2 - heart.csv