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Presentation material for my talk at Pycon DE 2023: Intro on synthetic tabular data including synthetic data generation, evaluation metrics and common problems of synthetic data generation projects.

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Scherzan/Unlocking-Information-Creating-Synthetic-Data-for-Open-Access

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Unlocking Information - Creating Synthetic Data for Open Access

This repo provides the slides and the materials for my talk at PyConDE/PyDataBerlin 2023, on Wednesday April 20th.

To watch the slides you can follow these steps.

You need to have Python 3.10 and uv installed.

Clone the repository and navigate to the directory

Use git clone or your preferred method to download/clone the repo.

Installation with uv

Navigate to your project directory and do:

uv venv --python 3.10
source .venv/bin/activate
uv pip install -r requirements.txt

Start the presentation

Just run:

streamlit run 🔓_Synthetic_Data.py

You should see the first slide with the title: Unlocking Information - Creating Synthetic Data for Open Access

Additional material

Find accompanying notebooks in the demo_notebook folder

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Presentation material for my talk at Pycon DE 2023: Intro on synthetic tabular data including synthetic data generation, evaluation metrics and common problems of synthetic data generation projects.

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