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@@ -4,9 +4,14 @@ This repository contains the Python exercises accompanying the theory from my [m
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. 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.
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**: 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 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**:
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/cod3licious/ml_exercises) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/cod3licious/ml_exercises)
If you have any questions, please drop me a line at `hey[at]franziskahorn.de`. If you have any questions, please drop me a line at `hey[at]franziskahorn.de`.
Have fun! Have fun!
### Overview
Stay tuned - exercises will come in the next few days!