ML5 - Advanced course: S3
Towards an end-to-end record linkage pipeline
Content
We will use a synthetic, small-scale dataset to develop an end-to-end ML-based pipeline for RL. The project will be developed collaboratively between all participants, including facilitators. In the first round of discussions, participants will be asked a series of questions regarding the project planning, including the choice of algorithms for each of the key steps. An end-to-end notebook for record linkage will be developed collaboratively. At the end of the hands-on session, participants will present to their supervisors (e.g. ESTHER partners).
Learning outcomes
Participants will experiment with ML tools in Python, including basic data analysis and plotting packages. In addition, they will develop a customized RL pipeline.
Materials
Pre-recorded video (30min): https://youtu.be/-iiNJePTTjA
See Moodle for more!
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