Advanced_Data_Cleaning_with_R
We show a method to quickly analyze all the column vectors in a dataset to be able to discern inconsistencies that need to be cleaned. Naturally, this extends the normal NA and facilitates determining other missing values imputed differently, for example: '-999','xxx','?', etc.
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Food-101---Transfer-Learning-and-TensorFlow
We used Transfer Learning with the goal of achieving 75% accuracy on the Food 101 dataset. Applied Intermediate and Advanced TensorFlow concepts.
Jupyter Notebook
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