Data Analysis in Orange: Image & Text Processing, Lung Disease Detection, and Graph Data Modeling

In this video, we explore powerful data analysis techniques using Orange Data Mining software. You’ll learn how to work with image and text data, apply machine learning to detect lung diseases using chest X-ray images, and perform predictive analytics on Statistical Performance Indicators (SPI) developed by the World Bank. We’ll also introduce graph-based and network data modeling, with practical examples such as analyzing mobile network data. Whether you’re a data scientist, AI researcher, or student, this tutorial will help you understand how to build intelligent data-driven solutions using Orange’s visual programming tools. 📚 Topics Covered: * Image and text data processing in Orange * Lung disease detection using chest X-ray images * Predicting Statistical Performance Indicators (SPI) * Understanding graph and network-based data * Analyzing mobile network data using graph models 💡 Software Used: Orange Data Mining 🔬 Keywords: Machine Learning, AI, Data Analysis, Graph Theory Don’t forget to subscribe for more tutorials on AI, IoT, and Data Science applications!