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Import Kaggle data, classify letters from ASL images. Extension of DataCamp project

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classify_ASL_letter

Import ASL image data, classify letters (A-Z).

Offshoot of a DataCamp project to use alternative larger dataset (downloaded from Kaggle) and include entire alphabet.

While the original DC project model classifies letters within A, B, or C to 95% accuracy, this extended model classifies letters within A-Z to 89% accuracy.

Data downloaded from Kaggle, stored in Github.
Notebook written in/for Colab.

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Import Kaggle data, classify letters from ASL images. Extension of DataCamp project

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