Role in this project:
Data Scientist Contributions:23 commits, 14 PRs, 17 pushes in 4 months
Contributions summary:Arun primarily contributed to the anomaly detection codebase, making modifications to the core `ts_anom_detection.R` file. These changes included fixing a typo, merging updates from the master branch, and addressing an issue related to epoch handling within the `date_utils.R` file. Additional contributions involved merging branches and fixing an issue with tests. The contributions focus on refining existing anomaly detection algorithms and related utilities.
anomalyanomaly-detectionmachine-learning
Breakout Detection via Robust E-Statistics
Contributions:6 commits, 2 PRs, 2 pushes in 5 months
statisticspythonmachine-learningbreakout