Keras for Text Classification using Vertex AI avaliações

VEERANJANEYULU P. · Revisado há over 1 year

Hrithik j. · Revisado há over 1 year

There is a very large jump from what was covered in the materials and what is required here. Some intermediate and focused practice on the particular coding needed would help immensely.

David M. · Revisado há over 1 year

Gus R. · Revisado há over 1 year

There was an issue in accessing the BigQuery dataset.

Sachin B. · Revisado há over 1 year

Gonzalo L. · Revisado há over 1 year

Instructions not clear about where to find basic text classification in notebook interface

Ilsa C. · Revisado há over 1 year

Pratik S. · Revisado há over 1 year

Lucas C. · Revisado há over 1 year

Tejas M. · Revisado há over 1 year

Ayush K. · Revisado há over 1 year

Harsh G. · Revisado há over 1 year

SALONI D. · Revisado há over 1 year

Mike W. · Revisado há over 1 year

Hector B. · Revisado há over 1 year

Abhimanyu C. · Revisado há over 1 year

Neha T. · Revisado há over 1 year

Alice C. · Revisado há over 1 year

Dokkari S. · Revisado há over 1 year

Kummari J. · Revisado há over 1 year

sai chandana k. · Revisado há over 1 year

Kummari J. · Revisado há over 1 year

Codes are not updated.

Shreya M. · Revisado há over 1 year

a few issues with the lab, starting with the BigQuery hacker noon dataset. the table specified is no longer accurate and the use of SAFE_OFFSET is required to get it to work. %%bigquery --project $PROJECT SELECT ARRAY_REVERSE(SPLIT(REGEXP_EXTRACT(url, '.*://(.[^/]+)/'), '.'))[SAFE_OFFSET(1)] AS source, COUNT(title) AS num_articles -- TODO: Your code goes here. FROM `bigquery-public-data.hacker_news.full` WHERE REGEXP_CONTAINS(REGEXP_EXTRACT(url, '.*://(.[^/]+)/'), '.com$') AND LENGTH(title) > 10 -- TODO: Your code goes here. GROUP BY source -- TODO: Your code goes here. ORDER BY num_articles DESC LIMIT 100

Don B. · Revisado há over 1 year

Akash K. · Revisado há over 1 year