March 7, 2024, 6:33 p.m. | Kaggle

Kaggle www.youtube.com

About the project: The project involves a analysis of air pollution data at various geographic levels, including global countries, USA states, and USA counties. It assesses trends and variations in air quality from 2019 to 2022, highlighting regions with the best and worst air quality, outliers, and changes over time. The project utilizes geospatial data analysis techniques, focusing on AQI, CO, O3, NO2, PM2.5, and PM10 metrics, and visualizes the data using choropleth maps. It emphasizes the pressing need for …

air pollution air quality analysis data global highlighting kaggle outliers pollution presentation project quality trends usa

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US