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Numpy Tutorial Exercises

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Created by: Alejandro Sanchez

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Difficulty

intermediate

Repository

Click to open

Video

Not available

Live demo

Not available

Average duration

10 hrs

Technologies

Numpy (and Pandas) are the #1 libraries for Machine Learning, there is no way you can do anything without it.

This interactive tutorial will help you become familiar on it, master the most used functionalities and help you clean up your first datasets.

  • Numpy documentation.
  • Vectors.
  • Matrix.
  • Random, Mean Values.

Note: The entire tutorial is πŸ‘† interactive, βœ… auto-graded and with πŸ“Ή video tutorials.

These exercises were built in collaboration, we need you! If you find any bugs or misspells please contribute and report them.

Contributors

Thanks to these wonderful people (emoji key:

  1. Alejandro Sanchez (alesanchezr), contribution: (coder) πŸ’» (idea) πŸ€”, (build-tests) ⚠️ , (pull-request-review) πŸ‘€ (build-tutorial) βœ… (documentation) πŸ“–

  2. Paolo (plucodev), contribution: (bug reports) πŸ›, contribution: (coder), (translation) 🌎

  3. Ricardo Rodriguez (RickRodriguez8080) contribution: (build-tutorial) βœ…, (documentation) πŸ“–

This project follows the all-contributors specifications.

Contributions of any kind are welcome!

Sign Up for instant access

Already have an account? Login here.

Difficulty

intermediate

Repository

Click to open

Video

Not available

Live demo

Not available

Average duration

10 hrs