Skip to content

VivekGoudAdula/Student-Performance-Prediction-Using-Linear-Regression

View on GitHub ↗Related repositories →

This project predicts student academic performance using linear regression. Key factors like study hours, attendance, and grades are analyzed to assess their impact on final scores. The workflow includes data preprocessing, model training, showcasing the practical application of statistical techniques in predictive analytics.

active 2024-12-032024-12-03 (UTC)

Complete coverage27,134 / 27,136 hourly files (100%) · 2 absent upstream2023-08-152026-09-18 (UTC)
Events
5
Pushes
1
Pull requests
0
Issues
0
Stars
2
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-12-03 to 2024-12-03. 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: 2 total, peak 2 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
VivekGoudAdula1100

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 — 2 stars here means stars gained during the window, not the repo's star count.