> For the complete documentation index, see [llms.txt](https://ersilia.gitbook.io/esther-workshop/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ersilia.gitbook.io/esther-workshop/materials/ml5-advanced-course-s3.md).

# 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](https://swisstph.ecampus.ssphplus.ch/mod/folder/view.php?id=9874) for more!