📌 Projet de Data Mining sur l'amélioration du minsup dynamique dans l'algorithme Apriori, testé sur un dataset médical.

Exploratory Data Analysis of the Breast Cancer Wisconsin (Diagnostic) dataset, uncovering patterns that separate benign and malignant tumors.

A machine learning classification system for early detection of Disease X based on patient symptoms using Python, Scikit-learn, and Streamlit.

A Python project that analyzes medical examination data and generates insightful visualizations. It produces categorical bar plots and correlation heatmaps to explore health-related metrics.

Demystifying liver medical data using machine learning

This project demonstrates the use of machine learning models to predict breast cancer diagnoses. The repository covers the entire workflow from data preprocessing and feature engineering to model training and evaluation, providing insights into diagnosis prediction with various ML models.

This project focuses on improving the performance of classifiers on imbalanced time series clinical data using a deep learning approach, integrating advanced techniques to handle data imbalance.