Donysus/-Advanced-Churn-Prediction-Model-Deep-Learning-Active-Learning-
View on GitHub ↗Related repositories →This project implements an advanced customer churn prediction model using deep learning, hyperparameter tuning, active learning, and concept drift detection. It incorporates Ray Tune for hyperparameter optimization, SMOTE for handling imbalanced data, and an active learning system that updates the model dynamically.
active 2025-02-09 → 2025-02-09 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-02-09 to 2025-02-09. Pushes: 11 total, peak 11 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
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- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Donysus | 11 | 11 | 0 | 0 |
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.