Jupyter Notebooks for learning the fundamentals of machine learning in test data analysis — aimed at beginners in Python programming.
| 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 |
- Python 3.12
- 16 GB RAM recommended
- Internet access for initial download of datasets and models
Extract the zip archive and install the dependencies:
unzip tutorial-testing-data-analysis.zip
cd tutorial-testing-data-analysis
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txtunzip tutorial-testing-data-analysis.zip
cd tutorial-testing-data-analysis
python -m venv .venv
.\.venv\Scripts\Activate
pip install -r requirements.txtjupyter labOr use any editor with Jupyter support (VS Code, Cursor, etc.).