Dates: 18 – 20 June 2025 | Venue: Ashesi University, Berekuso, Ghana
A three-day, hands-on gathering focused on Data Science, Machine Learning & AI.
This repository hosts all notebooks, datasets and slide decks for the tutorial tracks.
Each tutorial has its own folder containing Jupyter notebooks, data, and slides. Below is a detailed breakdown of each tutorial, dates, and the assigned facilitator / co-facilitator, along with their email addresses.
Open any folder to dive straight into its materials; most include a mini-README with extra setup notes.
We strongly recommend you complete the short prep guide before Day 1:
https://docs.google.com/document/d/e/2PACX-1vQrZPAraR6HuTrSzeWUqxGFKAUGCnPk8r1gQTJJSSmUaiBsJcowdgW4HTPlJ2fGamoZODb8-l_Yz740/pub
That page covers everything you need to get the most out of each tutorial.
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Clone the repo
git clone https://github.com/<your-org>/IndabaX25.git cd IndabaX25
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Create & activate an environment
python -m venv indabax25_env # or: conda create -n indabax25 python=3.10 source indabax25_env/bin/activate # Windows: indabax25_env\Scripts\activate
This work is licensed under a
Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
You are free to share and adapt the material for non-commercial purposes, provided you give appropriate credit and indicate any changes. The full legal text is included in the LICENSE file at the root of this repository.
See you at Ashesi University on 18 June 2025! ✨
— The IndabaX Ghana organising team