diff --git a/README.md b/README.md index 4135322..bdd59ec 100644 --- a/README.md +++ b/README.md @@ -2,9 +2,9 @@ This repository contains the Python exercises accompanying the theory from my [machine learning book](https://franziskahorn.de/mlbook/). -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. +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. -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). +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).
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)