orange-data-mining

Common file formats used for Data Science and language localization exported from (and to) HXL (The Humanitarian Exchange Language)

This project focuses on predicting passenger satisfaction and loyalty within the airline industry using data mining techniques. The analysis is conducted using the Orange Data Mining tool, with a primary emphasis on understanding and predicting customer satisfaction and churn risk.

Unsupervised clustering analysis using Orange to identify patient profiles associated with neuroblastoma survival. Highlights correlations between MYCN amplification, risk level, tumor differentiation, and prognosis.

GitHub Crop Anomaly detection repository

Hyperspectral food analysis teaching demo using SpectroFood, Python, and Orange Data Mining.

Movie Review Sentiment Analysis using Orange Data Mining

Modelo de Machine Learning para previsão de churn em telecomunicações. Projeto acadêmico (MBA SENAC-RJ) com Random Forest, validação cruzada e 92% de acurácia. Pipeline completo no Orange Data Mining.

Comparación de modelos de clasificación para recomendar medicamentos y predecir el tratamiento de pacientes nuevos.

A Business Intelligence project that analyzes LEGO product sales using Power BI dashboards, forecasting, and business analytics to support pricing, marketing, and inventory decisions.

Sistema autónomo para la detección de noticias falsas en español usando inteligencia artificial, NLP y machine learning. Incluye análisis de datasets, entrenamiento de modelos tradicionales, profundos y Transformers, con API en FastAPI e interfaz web en React.

Customer segmentation using K-Means clustering and Power BI for customer behavior analysis.

Hotel Booking Analytics & Cancellation Prediction Project using Excel Dashboard and Orange Data Mining.

Data Mining project covering classification, clustering, and association rule mining using Python, ORANGE, and WEKA.

Enterprise E-Commerce Relational Database Management System featuring 13 tables, complete referential integrity, Python EDA, Orange ML pipelines, and 10 analytical SQL views.

Aplicação de algoritmos de ML

Hospital Management System – Data Mining & Analytics Project using SQL, Python, Orange, and Power BI.

There are 4 sections. 1º- Process the data. 2º- Create train and test models. 3º- Analyse with orange data mine. 4º- We train the algorithm with KNN, DecisionTree, LogisticRegression, SVM. Then, we try to take our own conclusion about the dataset.

Unsupervised text clustering and supervised image classification with Orange Data Mining — SqueezeNet embeddings, seven models compared. L3 MIASHS project (Paul-Valéry).

Репозиторий с различной визуализацией

This is a machine learning project that analyzes the Kaggle Dataset and does a classification task of determining whether a credit card is approved or not.