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Educational Implementation · Jupyter Notebook

Explainable-AI

What it is

The repository contains two Jupyter notebooks that demonstrate data preprocessing, feature engineering, model training, and explainability techniques (SHAP/LIME) on a developmental disorder dataset.

Scored at1321df18 Nov 2026Changes since

Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored

Where it counts

  • Machine Learning80%
  • Data Science60%
  • MLOps10%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

Around it on the Machine Learning board

Whole board
  1. 89Neural-Cryptographic-Visual-Encoding-SystemTraining Experiment · Python44.1/100ImplementationSuceveanu Mircea Dan Sandu
  2. 90yds-livive-netML Application · TypeScript43.8/100ImplementationJarad Peckenpaugh
  3. 91, shared rankpizza-not-pizza-classifierML Application · Python43.6/100ImplementationPop Alexandru
  4. 91, shared rankExplainable-AIEducational Implementation · Jupyter Notebook43.6/100ImplementationDaffa
  5. 93patch-convolutional-vision-transformerArchitecture Modification / Research · Python43.3/100ImplementationSuceveanu Mircea Dan Sandu

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