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abdulrahim2002/pollution-prediction-using-deep-learning

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trained a machine learning model on 45000 data points that had hourly measurements of weather data such as dew, snow, rain, wind speed, wind direction, pressure and pollution. The model predicts pollution based on previous 11 datapoints. Currently model provides satisfactory performance with RMSE score of 0.064.

active 2024-01-19 → 2024-03-26 (UTC)

Complete coverage28,349 / 28,349 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-08 (UTC)
Events
5
Pushes
3
Pull requests
0
Issues
0
Stars
1
Forks
0

Activity over time

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Line chart, 68 days from 2024-01-19 to 2024-03-26. Pushes: 3 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.

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Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
abdulrahim20023300

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.