ML Project 1: Symptom-Based Diagnostic Decision Support AI System
Автор: Techneer by Junaid
Загружено: 2025-11-25
Просмотров: 63
A machine learning project predicting the likelihood of chronic diseases based on patient symptoms and health metrics. This end-to-end system demonstrates MLOps principles, with data preprocessing, model training, MLflow experiment tracking, and a local Streamlit UI demo.
It provides a data-driven decision support tool for healthcare settings.
✨ Technologies Used in This Project
This project brings together a full end-to-end machine learning workflow using industry-standard tools:
🧹 Data Preprocessing: Powered by pandas and numpy to clean, structure, and prepare the dataset.
📊 Visualization: Created visual summaries using Matplotlib, seaborn, and plotly, including interactive charts.
🔍 Exploratory Data Analysis: Used DBScan for clustering and PCA for dimensionality reduction to uncover patterns.
🤖 Machine Learning: Trained predictive models with scikit-learn and XGBoost.
📁 Experiment Tracking: Logged metrics and experiments using MLflow.
🐳 Packaging & Containerization: Utilized Docker to package the app and dependencies into reproducible images.
🚀 Model Serving / API: Built a fast REST API using FastAPI for real-time predictions.
💻 UI / Demo: Developed a user-friendly interface with Streamlit to interact with the model easily.
Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке:
![Excel и DeepSeek решат ВСЕ твои задачи за секунды! [Полный гайд]](https://ricktube.ru/thumbnail/1wuQdQ5QADw/mqdefault.jpg)
