Objective:
The goal of this hackathon is to identify change points and/or anomalies within a provided time-stamped dataset. This analysis will reveal distinct phases and patterns within the data.
Tools and Methods:
Participants are encouraged to utilize any tools, libraries, or packages (e.g., R, Python) for change point and anomaly detection. Alternatively, participants can use the free Change Point Detection API via Postman (postman.com), as detailed below.
Resources:
Change Point Detection API: Implemented in the free web tool Perfomalist: https://www.trub.in/2020/08/cpd-change-points-detection-is-planed.html
API Instructions: How to use the Change Points Detection Perfomalist API: https://www.trutechdev.com/2021/11/the-change-points-detection-perfomalapi.html
Visualization:
Results can be visualized using spreadsheet charting tools (Excel, Google Sheets) or other methods (e.g., Python, R).
Examples of visualizations will be provided.
Hackathon Details:
Time Limit: 3 hours to complete the task.
Judging: CMG experts will evaluate the results.
Award: The winner will receive an award and the opportunity for a short presentation.
Vendor Participation: Vendors of similar tools are welcome to participate.
Visualization samples:
Prize:
The Hackathon winner will receive $500 and their chance in the spotlight.