Pecas: Machine Learning Problem Shaping and Algorithm Selection
In our previous article, Machine Learning Aided Time Tracking Review: A Business Case we introduced the business case behind Pecas, an internal tool designed to help us analyse and classify time tracking entries as valid or invalid.
This series will walk through the process of shaping the original problem as a machine learning problem and building the Pecas machine learning model and the Slackbot that makes its connection with Slack.
In this first article, we’ll talk through shaping the problem as a machine learning problem and gathering the data available to analyse and process.
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