freeCodeCamp/neural-network-sms-text-classifier.md at 135928dc5ddfbc8d6644eb7e55b99ae33e3fc779

Kristofer Koishigawa 135928dc5d

fix(learn): update machine learning project colab links (#40213 )

* fix(learn): update machine learning project colab links

Update current machine learning project Colab links to clone Jupyter notebooks from the boilerplate repos rather than the ones in Google Drive.

* fix(learn): update chinese versions of colab links

2020-11-11 08:56:23 -08:00

1.7 KiB

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id, title, challengeType

id	title	challengeType
5e46f8edac417301a38fb931	Neural Network SMS Text Classifier	10

Description

In this challenge, you need to create a machine learning model that will classify SMS messages as either "ham" or "spam". A "ham" message is a normal message sent by a friend. A "spam" message is an advertisement or a message sent by a company.

You can access the full project instructions and starter code on Google Colaboratory.

After going to that link, create a copy of the notebook either in your own account or locally. Once you complete the project and it passes the test (included at that link), submit your project link below. If you are submitting a Google Colaboratory link, make sure to turn on link sharing for "anyone with the link."

We are still developing the interactive instructional content for the machine learning curriculum. For now, you can go through the video challenges in this certification. You may also have to seek out additional learning resources, similar to what you would do when working on a real-world project.

Instructions

Tests

tests:
  - text: 'It should pass all Python tests.'
    testString: ''

Challenge Seed

Solution

  # Python challenges don't need solutions,
  # because they would need to be tested against a full working project.
  # Please check our contributing guidelines to learn more.

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