Identifying Guns using Machine Learning for Image recognition with a Rapid Response System to Save Lives
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Updated
Jul 1, 2024 - Python
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.
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.
Minería de Datos: Preprocesamiento y Clasificación - Máster DATCOM 2020/2021
Repositorio creado para el Curso de Machine Learning (Aprendizaje Automático) en el programa de Magister en Inteligencia Artificial de la Universidad Adolfo Ibáñez
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.
Classification task on imbalanced loans dataset
Repositorio para los desafíos y trabajos prácticos de la materia de Aprendizaje Automático, donde se implementan y resuelven problemas utilizando técnicas y algoritmos del campo.
An innovative model developed in order to detect Raga of Hindustani Classical music.
Analisis Inteligente de Datos - Trabajo Práctico - Asteroides Peligrosos
Email Spam Classifier: Effective Filtering with Machine Learning. Dataset source:
Modelos algoritmos de Machine Learning
This project aims to address the communication issue by developing a program capable of analyzing images from videos or providing real-time translations using images captured by a webcam. The program will analyze the speaker's hands and use a CNN model, specifically trained for this task, to translate the signs into letters and words.
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
Web para llevar nuestras clasificaciones de partidos de pádel #EscuadronDelPadel
Datamining en Economía y Finanzas - Churn Prediction - Trabajo Práctico 1
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