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.
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- 89Neural-Cryptographic-Visual-Encoding-SystemTraining Experiment · Python44.1ImplementationSuceveanu Mircea Dan SanduMachine Learning
- 90yds-livive-netML Application · TypeScript43.8ImplementationJarad PeckenpaughMachine Learning
- 91, shared rankpizza-not-pizza-classifierML Application · Python43.6ImplementationPop AlexandruMachine Learning
- 91, shared rankExplainable-AIEducational Implementation · Jupyter Notebook43.6ImplementationDaffaMachine Learning
- 93patch-convolutional-vision-transformerArchitecture Modification / Research · Python43.3ImplementationSuceveanu Mircea Dan SanduMachine Learning