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Kaggle Notebooks

Explore a curated selection of Jupyter Notebooks that demonstrate the powerful capabilities of getML on Kaggle datasets. These notebooks showcase practical applications, highlighting benchmarks of various machine learning techniques, including Graph Neural Networks (GNNs).

  • Epileptic Seizure Recognition

    Dive into the classification of epileptic seizures using advanced machine learning techniques. This notebook covers the complete workflow, from data preprocessing and feature extraction to model training, providing a comprehensive approach to seizure recognition. [Source on Kaggle]

  • getML and GNNs: A Natural Symbiosis

    Discover the synergy between getML and Graph Neural Networks (GNNs). This notebook illustrates how integrating these technologies can significantly enhance both data processing and model performance. [Source on Kaggle]

  • CORA: Relational Learning vs. GNNs

    Explore a comparative analysis of getML and GNNs on the CORA dataset, a well-known benchmark in graph-based learning. This notebook provides valuable insights into the relative strengths and limitations of each approach. [Source on Kaggle]