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udaisharma99/Human-Activity-Predictive-Analysis

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This assignment focuses on using sensor data to predict human activity and is based on the ExtraSensory dataset, created by Ph.D. students and staff at the Department of Electrical and Computer Engineering, University of California, San Diego.

active 2024-01-302024-01-31 (UTC)

Complete coverage26,716 / 26,716 hourly files (100%) · 2 absent upstream2023-08-152026-09-01 (UTC)
Events
3
Pushes
1
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 2 days from 2024-01-30 to 2024-01-31. Pushes: 1 total, peak 1 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: 0 total, peak 0 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

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udaisharma991100

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.