A comprehensive project to predict and analyze diabetes health data using advanced machine learning models, including Logistic Regression, Random Forest, and XGBoost. 📊🔍
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Updated
Jun 12, 2024 - Jupyter Notebook
A comprehensive project to predict and analyze diabetes health data using advanced machine learning models, including Logistic Regression, Random Forest, and XGBoost. 📊🔍
Web application providing personalized food recommendations based on CBC and Vitamin/Mineral blood test results.
Postpartum Analysis is a comprehensive assessment conducted after childbirth to evaluate the mother's physical and emotional well-being. It covers factors like recovery progress, mental health, and newborn care, ensuring a holistic understanding of the postpartum experience for optimal support.
Project contains a short medical analysis and a machine learning model predicting if a patient has or hasn't a disease.
certification python project from freecodecamp
Python scripts for ECG signal processing and heart rate analysis.
Healthcare Data Analytic Solution @ https://devpost.com/software/house-ai
Investigation and Analysis carried out on a medical appointment dataset with about 100,000 records. The dataset was gotten from Kaggle.
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