PyData Seattle 2023 Workshop Hands-on Notebook
AutoGluon Tabular Section
| Topic | Notebook | Google Colab | SageMaker Studio Lab |
|---|---|---|---|
| Tabular Quickstart | tabular-quickstart.ipynb | ||
| Tabular In-Depth | tabular-indepth.ipynb |
AutoGluon Multimodal Section
| Topic | Notebook | Google Colab | SageMaker Studio Lab |
|---|---|---|---|
| Multimodal Classification | beginner_multimodal.ipynb | ||
| Object Detection | detection_high_performance_finetune_coco.ipynb | ||
| Named Entity Recognition | ner.ipynb | ||
| Text-Text Matching | text2text_matching.ipynb | ||
| Image-Text Matching | image_text_matching.ipynb |
AutoGluon EDA Section
| Topic | Notebook | Google Colab | SageMaker Studio Lab |
|---|---|---|---|
| Dataset Overview | eda-auto-dataset-overview.ipynb | ||
| Target Analysis | eda-auto-target-analysis.ipynb | ||
| Quick Fit | eda-auto-quick-fit.ipynb | ||
| Anomaly Detection | eda-auto-anomaly-detection.ipynb | ||
| Covariate Shift | eda-auto-covariate-shift.ipynb | ||
| Feature Interaction | eda-auto-analyze-interaction.ipynb |