Skip to content

THAMIZH-ARASU/Emotion-Recognition-using-Machine-Learning

View on GitHub ↗Related repositories →

Emotion Recognition using Machine Learning is a project focused on identifying and classifying human emotions through machine learning techniques. This repository includes essential components such as data preprocessing, feature extraction, and model training, using algorithm to achieve accurate emotion detection from diverse datasets.

active 2024-06-052024-06-06 (UTC)

Complete coverage27,098 / 27,100 hourly files (100%) · 2 absent upstream2023-08-152026-09-17 (UTC)
Events
23
Pushes
20
Pull requests
0
Issues
0
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 2 days from 2024-06-05 to 2024-06-06. Pushes: 20 total, peak 11 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.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

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

ContributorContributionsPushesPRsComments
THAMIZH-ARASU202000

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

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.