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barissglc/FeatureEngineering-ML

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Developed under the Milli Teknoloji Akademisi AI Expertise Program, this project covers time series analysis, data preprocessing, feature engineering, and machine learning modeling. It employs algorithms (tsfresh, XGBoost, CatBoost, StackingClassifier) and GridSearchCV for hyperparameter tuning, with performance evaluated using metrics.

active 2025-02-162025-02-16 (UTC)

Complete coverage26,519 / 26,519 hourly files (100%) · 2 absent upstream2023-08-152026-08-23 (UTC)
Events
6
Pushes
4
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2025-02-16 to 2025-02-16. Pushes: 4 total, peak 4 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
barissglc4400

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.