Predicting Machine failure using Machine learning on a synthetic dataset of an existing milling machine consisting of 10,000 data points

Train JOSA (Jopara Sentiment Analysis) corpus with traditional machine learning algorithms.

Applying CRISP-DM methodology for predicting Loan Elegibility

Binary classification with unbalanced tabular data

Toy-project, unbalanced data, classification pipeline for multiple classifiers and parameters tuning.

Fault diagnosis using focus loss function based on balance factor (two-category)

This project aims to solve a classic Machine Learning problem involving neural networks, tree classification, regressions, and clustering.

research on unbalanced data problems

This project consists on improving KNN to be able to better deal with imbalanced classes. Project for the "Machine Learning" course on the Second Semester of the Second Year of the Bachelor's Degree in Artificial Intelligence and Data Science.

Repositorio de la asignatura Inteligencia de Negocio cursada en la UGR. curso 2020-21

Building a model to detect anomaly in the credit card transactions

Fraud detection based on 6 million transactions

🩺 Machine Learning applied to stroke prediction for unbalanced data

Predict if a transaction is a fraud transaction or not, also, dealing with unbalanced data and finding the pattern using correlation between the features.

Kaggle Project : Anonymized credit card transactions labeled as fraudulent or genuine

predicting whether you read mail

Учебный проект по обработке несбалансированного датасета для классификации