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

1.8 KiB

id, title, challengeType
id title challengeType
5e46f8edac417301a38fb930 Linear Regression Health Costs Calculator 10

Description

In this challenge, you will predict healthcare costs using a regression algorithm.

You are given a dataset that contains information about different people including their healthcare costs. Use the data to predict healthcare costs based on new data.

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.