Identifying Guns using Machine Learning for Image recognition with a Rapid Response System to Save Lives

The project goal is to predict whether the patient has a 10-year risk of future coronary heart disease (CHD). The dataset is from an ongoing cardiovascular study on residents of the town of Framingham, Massachusetts.

An end-to-end ML platform that guarantees reproducibility across datasets, features, and models — with full lineage tracking and validation. Comes with pre-written configurations, artifact examples, comprehensive documentation, and a service that simplifies usage.

Trabajo Práctico Final para la materia Organización de Datos - UBA. Score máximo obtenido de 0.83726 para la competencia 'Real or Not? NLP with Disaster Tweets' de Kaggle.

This is a web-based expert system that uses the Naive Bayes classification method. The system is built using the Flask framework and is designed to automate the learning process based on datasets uploaded by the user.

Este proyecto compara algoritmos de clasificación para predecir la calidad del vino, validando su precisión con el método Stratified K-Fold.

Repositorio creado para el Curso de Machine Learning (Aprendizaje Automático) en el programa de Magister en Inteligencia Artificial de la Universidad Adolfo Ibáñez

Natural Language Processing, with a particular emphasis on classification using Neural Networks. To be exact, a Multi-Layer Perceptron that can accurately predict the parent categories based on the text input.

Minería de Datos: Preprocesamiento y Clasificación - Máster DATCOM 2020/2021

This project is designed to predict the quality of red or white wine based on various features. It utilizes Streamlit for the user interface and incorporates machine learning models from scikit-learn.

🐱 Cat and dog classification algorithm 🐶

Model comparison that can classify emails as spam or not spam using machine learning algorithms.

This repository features a four-pronged, in-depth investigation into global video games sales between 1980 and 2016.

Curso de introducción a Deep Learning de Kaggle

Este trabajo aborda la problemática de la clasificación de tumores mamarios utilizando dos algoritmos de ML: Árboles de Decisión y Bosques Aleatorios. Se realiza un análisis exhaustivo del dataset de cáncer, como la imputación de valores faltantes, el tratamiento de valores atípicos, la transformación de datos y balanceo de clases

Modelos algoritmos de Machine Learning

Curso de Computer Vision de Kaggle

Analisis Inteligente de Datos - Trabajo Práctico - Asteroides Peligrosos

An innovative model developed in order to detect Raga of Hindustani Classical music.

Clasificación de transacciones de tarjetas de crédito con el fin de detectar anomilas