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THARU12342000/Mobile-Price-Classification-With-MachineLearning

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This project focuses on building a machine learning model to classify mobile phones into different price ranges based on technical features such as battery power, clock speed, internal memory, and weight. The model aims to assist manufacturers in product positioning and help consumers make informed purchasing decisions.

active 2025-01-07 → 2025-01-07 (UTC)

Complete coverage27,282 / 27,285 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-24 (UTC)
Events
5
Pushes
3
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2025-01-07 to 2025-01-07. 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: 0 total, peak 0 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
THARU123420003300

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