https://github.com/kamilrybacki/mltoolsexercises

101 NumPy Exercises for Data Analysis solutions (based on Selva Prabhakaran post)
https://github.com/kamilrybacki/mltoolsexercises

Last synced: 12 days ago
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101 NumPy Exercises for Data Analysis solutions (based on Selva Prabhakaran post)

• Host: GitHub
• URL: https://github.com/kamilrybacki/mltoolsexercises
• Owner: kamilrybacki
• License: mit
• Created: 2024-02-19T08:04:09.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-03-05T11:14:45.000Z (9 months ago)
• Last Synced: 2024-05-30T16:28:42.221Z (6 months ago)
• Language: Jupyter Notebook
• Size: 4.31 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Machine Learning Tool Exercises

## numpy101.ipynb

This part of the repository holds exercises and solutions to the exercises in the Numpy 101 tutorial,

[written by Selva Prabhakaran] from machinelearningplus.com.

All of the exercises are located in the `numpy101.ipynb` file, where each pair of cells contains an exercise and its solution.

## pandas101.ipynb

This part of the repository holds exercises and solutions to the exercises in the Pandas 101 tutorial,

[written by Selva Prabhakaran] from machinelearningplus.com.

All of the exercises are located in the `pandas101.ipynb` file, where each pair of cells contains an exercise and its solution.

[written by Selva Prabhakaran]: https://www.machinelearningplus.com/python/101-numpy-exercises-python/