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Projects

  • dynamic control learning gzrover framework
  • energy model control : temperature and environment sensors network for automated control and monitoring
  • code analysis : parsing, clusturing and learning from other codes experience

Deep learning

Machine learning practicing, focus on popular platform

  • TensorFlow
  • Keras
  • TFX

Data mining

  • numpy

  • pandas

    ipython nbconvert .\analyse.ipynb

Data visualisation

  • Matplotlib
  • plotly (online visualisation)

IDEs

  • Jupyter notebook
  • VSCode Python extension (works as Jupyter notebooks)

Note & Licensing

Code in this repo is simply a collection of code, not intended to be particularly organised, for examples and tutorials please follow the official websites of frameworks providers. Any code that will constitute a relevant project will move outside of this repo. All licenses from original framework authors apply, in case of headers available they will be kept.

Cheat-sheets references

https://www.dataquest.io/blog/large_files/numpy-cheat-sheet.pdf https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Numpy_Python_Cheat_Sheet.pdf https://www.dataquest.io/blog/large_files/pandas-cheat-sheet.pdf https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf

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Machine learning practicing

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