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1. Heart-Failure-Prediction- Heart-Failure-Prediction- Public

   Heart Failure Prediction Model : A machine learning system that analyzes clinical data using XGBoost and LightGBM to assess cardiovascular risk. Processes key health indicators to generate actionab…

   Jupyter Notebook 1

2. Glucose-Monitoring-GUI-Application Glucose-Monitoring-GUI-Application Public

   This is just a simple project I developed using Object-Oriented Programming (OOP) and various Python libraries. It’s a desktop application that helps track and visualize glucose levels in a user-fr…

   Python 1

3. Mini-Project-Diabetes-Detection-using-XGBoost-Neural-Networks-and-Logistic-Regression Mini-Project-Diabetes-Detection-using-XGBoost-Neural-Networks-and-Logistic-Regression Public

   This project aims to detect the likelihood of diabetes in individuals using machine learning models, specifically XGBoost and Artificial Neural Networks (ANNs). The dataset used is the well-known P…

   Jupyter Notebook 1

4. Medical-Insurance-Premium-Prediction-with-Machine-Learning Medical-Insurance-Premium-Prediction-with-Machine-Learning Public

   A machine learning project that predicts medical insurance premiums based on customer data such as age, gender, BMI, number of children, smoking habits, and region.

   Jupyter Notebook 1

5. Random-Forest-Medical-project- Random-Forest-Medical-project- Public

   My First repository in Github

   Jupyter Notebook 1

6. Diabetes_classification_with_KNN_in_Python Diabetes_classification_with_KNN_in_Python Public

   This project uses a K-Nearest Neighbors (KNN) classifier to predict diabetes from a dataset of 390 patient records, achieving up to 91.67% accuracy. It includes data preprocessing, feature selectio…

   Jupyter Notebook 1