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This repository is dedicated to analyzing and visualizing sentiment patterns in social media data, providing insights into public opinion and attitudes towards specific topics, brands, or entities. The dashboard offers a detailed view of how different entities are perceived online, helping users to gauge overall sentiment and identify trends.
In this project, I have classified product reviews from E-commerce website into positive, negative, and neutral category, with the help of machine learning and Natural language Processing.
Proyecto de Inmersión de Datos en Python, organizado por la empresa Alura Latam donde aprendimos un poco del análisis de datos con python trabajando con una base de datos de un banco alemán para definir que modelo de machine learning sería el indicado para saber si un cliente pagará o no un crédito
Our project utilizes machine learning models to predict cardiovascular diseases (CVDs) by analyzing diverse datasets and exploring 14 different algorithms. The aim is to enable early detection, personalized interventions, and improved healthcare outcomes.
The aim of this project is to develop a robust sentiment analysis system that can automatically classify restaurant reviews as positive, negative, or neutral based on the sentiment expressed in the text.
A groundbreaking initiative aimed at enhancing the independence and quality of life for individuals suffering from blindness and visual impairment. Navigating the world with limited vision presents numerous challenges, and our project addresses these difficulties through the integration of artificial intelligence and computer vision technologies.