B-YOND at Sharkfest US 2024

This repository contains the notebooks, code and documentation for B-YOND workshop "Enhancing Wi-Fi Networks with AI: A Deep Dive into Machine Learning for Wi-Fi Health Checks" at Sharkfest US 2024.

Pre-Requisites

• A basic understanding of programming in Python
• Familiarity with Jupyter notebooks , if you haven't used Jupyter notebooks before please check this tutorial ahead of the workshop.

Workshop Material

We will run this workshop on Google Colab:

Google Colaboratory, or "Colab" for short, is a cloud-based Jupyter notebook environment that allows for free Python code execution with free access to GPUs. To learn more about how to use Google Colaboratory, watch this YouTube tutorial.

• Minimal setup required (5 mins)

• Requires a google account

• Slide Deck is available for download on Discord Wireshark server channel: #ai-integration

Step 1: Logging into Google Colab

• Go to Google Colab.
• Click on the Sign in button in the upper-right corner of the page.
• Sign in with your Google account credentials. If you don’t have a Google account, you will need to create one.

Step 2: Opening the first Notebook in Colab

• Click on File in the top menu.
• Select Open Notebook.
• In the pop-up window, go to the GitHub tab.
• Paste the following notebook URL into the provided field and press Enter or click Search.
  • https://github.com/b-yond-infinite-network/sharkfest-us-2024/blob/main/notebooks/wifi-health-checks-analysis.ipynb
• Now, you can interact with and run the notebook in Google Colab.