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.

Aplicação de algoritmos de ML

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.

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 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).