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cheatsheet
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LICENSE
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LICENSE
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MIT License
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Copyright (c) 2021 franzi
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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README.md
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README.md
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## Machine Learning Exercises
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This repository contains the Python exercises accompanying the theory from my [machine learning book](https://franziskahorn.de/mlbook/ml4industry_guide.html).
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If you're unfamiliar with Python, please have a look at [this tutorial](https://github.com/cod3licious/python_tutorial) first, which also contains some notes on what you need to install to work on the exercises on your computer. If you have a Google account, you can also run the code in the cloud using **Google Colab**:
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[](https://colab.research.google.com/github/cod3licious/ml_exercises)
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If you have any questions, please drop me a line at `hey[at]franziskahorn.de`.
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Have fun!
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cheatsheet.pdf
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