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ml-intern
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deep-learning-project

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  1. Add comprehensive teacher presentation guide

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  1. Add detailed notebook code walkthrough

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  2. Update final report cover layout

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  3. Update final report cover page

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  4. Add final academic report with corrected cover page

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  5. Add final academic report with corrected cover page

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  6. Add final academic report with corrected cover page

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  1. Add detailed technical report with figures

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  2. Add detailed technical report with figures

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  3. Add detailed technical report with figures

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  4. Add detailed technical report with figures

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  5. Add detailed technical report with figures

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  6. Add detailed technical report with figures

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  7. Add detailed technical report with figures

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  8. Add detailed technical report with figures

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  9. Add detailed technical report with figures

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  10. Upload 2 files

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  11. Add detailed exam prep and slide pitch notes

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  12. Add exam presentation deck and speaker notes

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  13. Update ML Intern artifact metadata

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  14. Add exam presentation deck and speaker notes

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  1. Fix SHAP compatibility — handle both old list format and new 3D array format

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  2. Add Colab notebook — full pipeline in one file

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  3. Add requirements.txt and reproduce.sh

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  4. Add reproducibility script

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  5. Add SHAP + LIME explainability analysis

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  6. Add training script for all 3 models

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  7. Add explanation stability evaluation (SAFARI framework)

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  8. Add LSTM model

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  9. Add MLP baseline model

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  10. Add 1D-CNN model

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  11. Add data preprocessing pipeline

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  12. Add architecture & design choices document

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  13. Add threat model document

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  14. Add project plan document

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  15. Add project README with full structure and documentation

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  1. Upload ICCN_Projects.pdf

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  2. initial commit

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