octaviookumu/anomaly-detection-challenge

anomaly-detection-challenge

Overview

You are provided with a CSV file [download and unzip anomalies.zip] available from this repository. You are expected to process the file and identify anomalies in the data set.

Present your interpretation of the data and what it represents list the records and fields you identify as anomalous. Provide justification why those fields and records are anomalous. You may visualise/graph the data if you want but this is not a requirement.

Rules

• You are expected to work on this task unassisted.
• You are allowed to google or use any resources at your disposal.
• The solution should be demonstrable on AWS or on your local machine.
• If the solution is deployed on AWS you will score extra points
• The more cloud native, secure, cost efficient, performant and reliable the solution is the more points you will score.
• The five pillars of well architected will be the main criteria

PS: Repo link https://github.com/saf-se-summit/anomaly-detection-challenge