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An web application designed to recommend courses based on a user's programming background and preferences. The application uses a machine learning model to predict the best courses for users. With a backend server, a frontend application, and a Python-based prediction model.

active 2024-05-26 → 2024-06-17 (UTC)

Complete coverage28,201 / 28,201 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-02 (UTC)
Events
81
Pushes
52
Pull requests
8
Issues
0
Stars
1
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 23 days from 2024-05-26 to 2024-06-17. Pushes: 52 total, peak 17 in a day. Pull requests: 8 total, peak 4 in a day. Issues: 0 total, peak 0 in a day. Comments: 1 total, peak 1 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
kaloa2025373250
HazSyl1171700
Priyanshi09123300
Adityalodhi3021
MinalGhate1010

Recent activity

Latest issues, pull requests and releases

  • Pull request#3kaloa20252024-06-01 10:10
  • Pull request#3kaloa20252024-06-01 10:09
  • Pull request#2kaloa20252024-05-28 04:18
  • Pull request#2MinalGhate2024-05-27 10:54
  • Pull request#1kaloa20252024-05-26 20:24
  • Pull request#1kaloa20252024-05-26 20:21
  • Pull request#1Adityalodhi2024-05-26 19:14
  • Issue comment#1Adityalodhi2024-05-26 19:14
  • Pull request#1Adityalodhi2024-05-26 19:14

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.