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.
Este proyecto compara algoritmos de clasificación para predecir la calidad del vino, validando su precisión con el método Stratified K-Fold.
Minería de Datos: Preprocesamiento y Clasificación - Máster DATCOM 2020/2021
Modelo de factores de riesgo en adolescentes - El Salvador (WHO GSHS 2013)
Repositorio creado para el Curso de Machine Learning (Aprendizaje Automático) en el programa de Magister en Inteligencia Artificial de la Universidad Adolfo Ibáñez
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.
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 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.
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.
This repository features a four-pronged, in-depth investigation into global video games sales between 1980 and 2016.
Model comparison that can classify emails as spam or not spam using machine learning algorithms.
🐱 Cat and dog classification algorithm 🐶
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
Curso de introducción a Deep Learning de Kaggle
An innovative model developed in order to detect Raga of Hindustani Classical music.
This is a project that uses a machine learning algorithm to predict pest disease in crops.
Modelos algoritmos de Machine Learning
Email Spam Classifier: Effective Filtering with Machine Learning. Dataset source:
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