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

GitHub Crop Anomaly detection repository

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.

Aplicação de algoritmos de ML

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.

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.

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.

Репозиторий с различной визуализацией

This project combines machine learning with data science implemented in a python environment. Completed as my Master's degree practicum, it displays skills in data analytics as well as intermediate level python development using serializing and de-serializing a Python object structure (Pickle File).