Performance Evaluation of Supervised Machine Learning Algorithms for Intrusion Detection

Análisis predictivo de trasplante de médula ósea en pacientes pediátricos utilizando modelos de regresión logística y random forest. Incluye análisis y visualizaciones de datos clínicos para predecir la recaída post-trasplante.

ROC visualization tool for multi-class data

This project demonstrates how to build a logistic regression model and understanding the evaluation metrics to determine if the model is performing well or not

Fingerprint recognition system using Euclidean distance and OpenCV for biometric matching with dynamic thresholding

Analyse the factors that lead to employee attrition at IBM.

What makes fine wine? The main goal of this investigation is to examine which physicochemical features of wine provide the most information about its quality.

The primary goal of this project is to develop a comprehensive fraud detection system that enhances the security and trustworthiness of financial transactions.

Fundamental ML Algorithms in Python

R-based mental-health analytics project featuring data prep, exploratory analysis, GLM/decision-tree models, and ROC/AUC evaluation in a reproducible workflow.

Сегментация КТ-снимков лёгких для выявления поражения тканей от COVID-19 на основе глубоких свёрточных нейронных сетей

My repository of Machine Learning by UFMG

Creating ROC graph for every target on data

End-to-end SaaS churn risk modeling and revenue exposure analytics pipeline (PostgreSQL + Python + Tableau).

Results of binary classification of Yelp reviews as pertaining to conventional or alternative medicine using random forests

Supervised Learning project from TripleTen

Second part of the TFG. In this part is developed a module capable of obtaining ROC curves for the evaluation of modified classifiers in the first part of the project.

Predict which products Instacart users will reorder using classification algorithms (logistic regression, random forest and gradient boosting)