Assignments not getting submitted

Hi @Prasad_Sonar,
I checked your notebook. Here’s what I’ve found.

  1. In C2W2 Assignment:
    Exercise 1 is missing #grader-required-cell at several exercises (1, 2, 3, 4, 5).
    At exercise 5, you don’t need to import every module again. Please don’t add any new cells and only edit within ### START CODE HERE
    At exercise 6, remove always_return_num_quantiles=False as that option doesn’t exist in tft.bucketize(). For traffic_volume, there’s no such _fill_in_missing module. You can use normal tf.cast(). The outputs also have IndexError and TypeError. Please double check tft.mean(tf.cast(input, dtype))
    For exercise 7, I believe you accidentally created some new cells and forget to fill out exercise 7. There’s also an extra cell with # grade-up-to-here. This may be why your assignment is not getting graded properly.

  2. In C2W3 Assignment:
    Missing #grader-required-cell at several exercises. There are also extra cells and there’s a duplicate metadata ### START CODE HERE ###


    Also, you used ImporterNode instead of the suggested functionImportSchemaGen.
    The variable of user_schema_importer.outputs is incorrect. The default should have been
    as it’s written for in the notebook

context.show(user_schema_importer.outputs['schema'])

In Exercise 8, when stats_options.schema is set, it will be used instead of the schema channel input. Since you add both schema and stats_options, an error will be raised. See more. In excercise 11, you used the original schema artifact instead of the curated schema (user_schema_importer)

Follow these steps to grab the fresh notebook. Only put your solutions in between the ### START CODE HERE and ### END CODE HERE code comments, and also refrain from adding any new cells.

Please be mindful that if you delete/add/edit any cell that has this # tag during your work, you may mistakenly delete important metadata that will be used for the submission and grading process at the end.

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