hs094/Air-Pollution-Forecasting
A comprehensive time series forecasting project comparing statistical, machine learning, and deep learning models for air pollution prediction. Features data exploration, model implementation (ARIMA, SARIMAX, Prophet, Random Forest, XGBoost, LightGBM, LSTM, DeepAR), and performance evaluation.
No commits in the last 6 months.
Stars
2
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 16, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/hs094/Air-Pollution-Forecasting"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
fablabbcn/smartcitizen-data
A python package for analyzing environmental sensor's data
ICCC-Platform/Air-Pollution-Image-Dataset-From-India-and-Nepal
Air Pollution Image Dataset from India and Nepal
SIU-Sirocco-2025/Eco-Track
Giải Pháp Theo Dõi và Dự Báo Chất Lượng Không Khí TP.HCM Ứng Dụng Công Nghệ Số
Semillero-Inteligencia-Artificial-EAFIT/airedellin
Canairio sensors visualizer and predictor
at-tan/Forecasting_Air_Pollution
Stacking a machine learning ensemble for multivariate time series forecasting, with the goal of...