Group 2 - Final Project for the UTK Machine Learning Course (COSC-522)
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Updated
Dec 12, 2021 - Jupyter Notebook
Group 2 - Final Project for the UTK Machine Learning Course (COSC-522)
Exploratory Data Analysis on road accidents happened in 5 years in US that can help in prevention of accidents.
Trabajo de promoción | Bases de Datos 2 (2022) | UNLP Informática (4º año) | Spring - PostgreSQL - MongoDB - Docker Compose - US Traffic Accidents Dataset
ML-powered dashboard for US traffic accident severity prediction using AutoML, PyCaret, and Streamlit.
This project is a comprehensive machine learning project developed to analyze and predict traffic accidents in the United States. The project works with over 7.7 million accident data collected between 2016-2023 and provides an interactive web application for real-time predictions.
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