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Subashcoder/Price_Prediction_and_Optimization

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active 2024-09-222025-04-13 (UTC)

Complete coverage26,767 / 26,767 hourly files (100%) · 2 absent upstream2023-08-152026-09-03 (UTC)
Events
225
Pushes
76
Pull requests
2
Issues
100
Stars
0
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 204 days from 2024-09-22 to 2025-04-13. Pushes: 76 total, peak 32 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 100 total, peak 49 in a day. Comments: 29 total, peak 14 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

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

ContributorContributionsPushesPRsComments
Prabhsimran1869708
BikashThapa371817
Subashcoder311802
KeshavGautam77221103
Kushal-ghimire20815
Subash04911201
Nischal1569403
VidhamjotKaur4400
SonaThapa2200
Sujagrg182200

Recent activity

Latest issues, pull requests and releases

  • Issue#17Subash0492024-12-11 03:32
    Model Interaction
  • Issue#21Subash0492024-12-11 03:32
    Final DashBoard and website
  • Issue#20Subash0492024-12-11 03:32
    Deployment
  • Pull request#54BikashThapa2024-11-27 17:56
  • Issue comment#54BikashThapa2024-11-27 17:56
    Dev
  • Issue comment#54BikashThapa2024-11-27 17:55
    Dev
  • Pull request#54Kushal-ghimire2024-11-27 17:54
  • Issue#14Prabhsimran182024-11-27 05:01
    Building Recommendation Engine
  • Issue comment#15Nischal1562024-11-27 05:01
    Hyperparameter Tuning (Feed-Forward Network / Fully Connected NN)
  • Issue#15Prabhsimran182024-11-27 05:01
    Hyperparameter Tuning (Feed-Forward Network / Fully Connected NN)
  • Issue#25Prabhsimran182024-11-27 05:00
    Study correlations between features, Generate geographical price heatmaps
  • Issue#29Prabhsimran182024-11-27 05:00
    Generate location-based features, Create amenity-based features
  • Issue comment#29Prabhsimran182024-11-27 05:00
    Generate location-based features, Create amenity-based features
  • Issue#32Prabhsimran182024-11-27 05:00
    Transform geographical features, Build feature transformation pipeline
  • Issue#33Prabhsimran182024-11-27 04:59
    Perform correlation analysis, Run feature importance analysis for Location Recommendation Model
  • Issue#35Prabhsimran182024-11-27 04:59
    Implement dimension reduction techniques, Document selected features with rationale, Create final feature set pipeline for Location Recommendation Model
  • Issue comment#53Prabhsimran182024-11-27 04:59
    Use Amenities as features
  • Issue comment#53Kushal-ghimire2024-11-27 04:58
    Use Amenities as features
  • Issue#53Kushal-ghimire2024-11-27 04:58
    Use Amenities as features
  • Issue#53Prabhsimran182024-11-27 04:58
    Use Amenities as features
  • Issue comment#37Kushal-ghimire2024-11-27 04:57
    Design cross-validation strategy, Implement data splitting pipeline, Create validation set criteria for Location Recommendation Model
  • Issue#37Kushal-ghimire2024-11-27 04:57
    Design cross-validation strategy, Implement data splitting pipeline, Create validation set criteria for Location Recommendation Model
  • Issue#16Prabhsimran182024-11-27 04:48
    Model Interpretability
  • Issue#52Prabhsimran182024-11-27 04:48
    Use the Best Model (XGBoost) to make the final pickle file
  • Issue#51Prabhsimran182024-11-27 04:45
    Design hyperparameter search space for MLP, Run grid search for MLP optimization, Analyze MLP tuning results and select best model

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.