https://github.com/mchav/courseramachinelearning
Exercises and notes from the Coursera Machine Learning Course by Andrew Ng.
https://github.com/mchav/courseramachinelearning
haskell machine-learning machine-learning-coursera
Last synced: 11 months ago
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Exercises and notes from the Coursera Machine Learning Course by Andrew Ng.
- Host: GitHub
- URL: https://github.com/mchav/courseramachinelearning
- Owner: mchav
- License: bsd-3-clause
- Created: 2017-06-25T01:05:33.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2018-10-14T17:36:23.000Z (over 7 years ago)
- Last Synced: 2025-03-20T17:50:04.674Z (11 months ago)
- Topics: haskell, machine-learning, machine-learning-coursera
- Language: Jupyter Notebook
- Size: 44.9 KB
- Stars: 17
- Watchers: 6
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: ChangeLog.md
- License: LICENSE
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README
# CourseraMachineLearning
Exercises and notes from the Coursera Machine Learning Course by Andrew Ng.
The exercises are done in Haskell. Run `stack build && stack exec CourseraMachineLearning-exe` to execute the exercises.
The "main" function of the project is in `app/Main.hs`. All the "homework" code i.e the code with the functions you are supposed to write as exercises, is in the `src` directory.
There is an IHaskell version of the homework available too. To start it, run `stack build && stack exec jupyter -- notebook`