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https://github.com/erenokur/machine-learning-playground
Experiment with machine learning and AI algorithms, write guides, and documents.
https://github.com/erenokur/machine-learning-playground
hidden-markov-model machine-learning numpy python pytorch sckit-learn tensorflow
Last synced: 5 days ago
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Experiment with machine learning and AI algorithms, write guides, and documents.
- Host: GitHub
- URL: https://github.com/erenokur/machine-learning-playground
- Owner: erenokur
- License: mit
- Created: 2024-05-12T07:42:50.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-12-28T20:08:46.000Z (about 1 month ago)
- Last Synced: 2024-12-28T21:18:24.957Z (about 1 month ago)
- Topics: hidden-markov-model, machine-learning, numpy, python, pytorch, sckit-learn, tensorflow
- Language: Python
- Homepage:
- Size: 39.1 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# machine-learning-playground
Experiments with machine learning and AI algorithms, write guides, and documents.
## Getting Started
This project has multiple sub-projects. Each sub-project has its own README file. Please refer to the README file of the sub-project you are interested in.
### Prerequisites
All projects are written in Python. You need to have Python installed on your machine to run the projects.
### Installing
each project has its own requirements. You can install them with pip. I did not give specific versions for the libraries to not mess up with your current environment. You can check the tested versions in the README file of the sub-project you are interested in.
```bash
pip install -r requirements.txt
```Note: My Python version is 3.8.4. You may need to install the required libraries with the appropriate version.
### Resources
You may want to familiarize yourself with the following technologies/libraries:
- [python](https://www.python.org/)
- [scikit-learn](https://scikit-learn.org/stable/)
- [tensorflow](https://www.tensorflow.org/)
- [keras](https://keras.io/)
- [opencv](https://opencv.org/)
- [pandas](https://pandas.pydata.org/)
- [numpy](https://numpy.org/)
- [matplotlib](https://matplotlib.org/)
- [seaborn](https://seaborn.pydata.org/)
- [pytorch](https://pytorch.org/)
- [hmmlearn](https://hmmlearn.readthedocs.io/en/latest/)
- [librosa](https://librosa.org/doc/main/index.html)### Feedback
If you have any feedback about the project, please let me know. I am always looking for ways to improve the user experience.