Tutorial: Testing Data Analysis with Machine Learning

Jupyter Notebooks for learning the fundamentals of machine learning in test data analysis — aimed at beginners in Python programming.

Contents

Notebook	Domain	Topic
audio_classification.ipynb	Audio	Transformer embeddings + SVM classification on ESC-50
hf_cifar100.ipynb	Image	Vision Transformer on CIFAR-100 with embedding visualization
f1_embedding_generation.ipynb	Time Series	F1 telemetry embeddings with Chronos-2

Prerequisites

• Python 3.12
• 16 GB RAM recommended
• Internet access for initial download of datasets and models

Installation

Extract the zip archive and install the dependencies:

Linux

unzip tutorial-testing-data-analysis.zip
cd tutorial-testing-data-analysis
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Windows

unzip tutorial-testing-data-analysis.zip
cd tutorial-testing-data-analysis
python -m venv .venv
.\.venv\Scripts\Activate
pip install -r requirements.txt

Getting Started

jupyter lab

Or use any editor with Jupyter support (VS Code, Cursor, etc.).