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This repository contains the Python exercises accompanying the theory from my [machine learning book](https://franziskahorn.de/mlbook/).
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This repository contains the Python exercises accompanying the theory from my [machine learning book](https://franziskahorn.de/mlbook/).
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Also have a look at the [cheat sheet](https://github.com/cod3licious/ml_exercises/blob/main/cheatsheet.pdf), which includes a summary of the most important steps when developing a machine learning solution, incl. code snippets.
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You might also want to have a look at the [cheat sheet](https://github.com/cod3licious/ml_exercises/blob/main/cheatsheet.pdf), which includes a summary of the most important steps when developing a machine learning solution, incl. code snippets.
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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 includes some notes on how to install Python and Jupyter Notebook on your own computer (please make sure you're using Python 3 and all libraries listed in the `requirements.txt` file are installed and up to date (you can also verify this with the `test_installation.ipynb` notebook).
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If you're unfamiliar with Python, please have a look at [this tutorial](https://github.com/cod3licious/python_tutorial) before working on the exercises, which also includes some notes on how to install Python and Jupyter Notebook on your own computer (please make sure you're using Python 3 and all libraries listed in the `requirements.txt` file are installed and up to date (you can also verify this with the `test_installation.ipynb` notebook). <br>
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If you have a Google account, you can also run the code in the cloud using **Google Colab**:
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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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[](https://colab.research.google.com/github/cod3licious/ml_exercises)
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