ML on GCP: Hybrid Recommendations with the MovieLens Dataset Reviews
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ML on GCP: Hybrid Recommendations with the MovieLens Dataset Reviews

3740 reviews

Vaishnavi C. · Reviewed about 1 year ago

Jesus S. · Reviewed about 1 year ago

CalledProcessError Traceback (most recent call last) Cell In[5], line 1 ----> 1 get_ipython().run_cell_magic('bash', '', "mkdir bqml_data\ncd bqml_data\ncurl -O 'http://files.grouplens.org/datasets/movielens/ml-20m.zip'\nunzip ml-20m.zip\nyes | bq rm -r $PROJECT:movielens\nbq --location=US mk --dataset \\\n --description 'Movie Recommendations' \\\n $PROJECT:movielens\nbq --location=US load --source_format=CSV \\\n --autodetect movielens.ratings gs://cloud-training/recommender-systems/movielens/ratings.csv\nbq --location=US load --source_format=CSV \\\n --autodetect movielens.movies_raw gs://cloud-training/recommender-systems/movielens/movies.csv\n")

Billy B. · Reviewed about 1 year ago

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Trần Quang H. · Reviewed about 1 year ago

Santa P. · Reviewed about 1 year ago

Juan Pedro A. · Reviewed about 1 year ago

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Giacomo B. · Reviewed about 1 year ago

Alessandro M. · Reviewed about 1 year ago

Dharani Prabhu N. · Reviewed about 1 year ago

Cheng Z. · Reviewed about 1 year ago

Rafael R. · Reviewed about 1 year ago

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putri dwi noor r. · Reviewed about 1 year ago

Tina N. · Reviewed about 1 year ago

Gabor S. · Reviewed about 1 year ago

Viktor K. · Reviewed about 1 year ago

Pedro A. · Reviewed about 1 year ago

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