Brain tumour detector built with YOLOv8 model.

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Classifying Travel Mode choice in the Netherlands using KNN, XGBoost, RF and TabNet

Este proyecto consiste en la detección de fraudes utilizando machine learning, datos desbalanceados y técnicas de muestreo.

Malicious URL detector built with deep exploration on feature engineering.

Many algorithms for imbalanced data support binary and multiclass classification only. This approach is made for mulit-label classification (aka multi-target classification). 🌻

ProfessionAI Data Science Master: Final project for "Fundamentals of Machine Learning" module: Cross Selling Prediction Model

Bank Credit Card Customer churn prediction

A newsletter conversion predictor

Official implementation of Bagging Folds using Synthetic Majority Oversampling for Imbalance Classification

Advancing Cybersecurity with AI: This project fortifies phishing defense using cutting-edge models, trained on a diverse dataset of 737,000 URLs. It was the final project for the AI for Cybersecurity course in my Master's at uOttawa in 2023.

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

A study of oversampling techniques using GAN and CycleGAN: an overview using a binary classifier. University of Cagliari, 2022.

Final project of the Machine Learning course at the University of Cagliari in 2022. Analysis of a dataset, use of Machine Learning techniques with Oversampling and Undersampling techniques. Final report with the results obtained.

센서 데이터를 활용한 공정 이상 예측 모델링

Implementation of the Geometric SMOTE over-sampling algorithm.

Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/

Detect fraudulent credit card transactions through supervised machine learning