Colab notebook python + TF embeddings training and geotagging

I have two Arabic social media datasets one is labeled (5 classes) and the other is not.

The task is to use TensorFlow to train embeddings that classify the second dataset based on the 5 classes that exist in the first dataset. Then use a git repository to geotag the dataset.

I need it to be in Google Colab notebook since I would want to learn and see step by step what happens.

Would definitely need evaluation measures as well.

Compétences : Python, Machine Learning (ML), Tensorflow, Langage Naturel, Géolocalisation

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Concernant l'employeur :
( 8 commentaires ) Kuwait city, United States

Nº du projet : #31581874

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