From 1c004c78ff64caf3b75ac02f55b96373b61d77fb Mon Sep 17 00:00:00 2001 From: franzi Date: Wed, 18 Aug 2021 20:46:17 +0200 Subject: [PATCH] minor --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 0fced0e..17ea6d2 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ This repository contains the Python exercises accompanying the theory from my [machine learning book](https://franziskahorn.de/mlbook/). -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. +You might also want to have a look at the [cheat sheet](/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) 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 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**: @@ -32,7 +32,7 @@ Have fun! ##### Block 1.3: - [ ] Read the whole chapter: ["Data & Preprocessing"](https://franziskahorn.de/mlbook/_data_preprocessing.html) - [ ] Answer [Quiz 2](https://forms.gle/Pqr6EKHNxzrWb7MF9) -- [ ] Read the first part of the chapter ["ML Algorithms: Unsupervised & Supervised Learning"](https://franziskahorn.de/mlbook/_ml_algorithms_unsupervised_supervised_learning.html) +- [ ] Read the first section of the chapter ["ML Algorithms: Unsupervised & Supervised Learning"](https://franziskahorn.de/mlbook/_ml_algorithms_unsupervised_supervised_learning.html) --- @@ -49,7 +49,7 @@ Have fun! ##### Block 2.3: - [ ] Read the section: ["Supervised Learning: Overview"](https://franziskahorn.de/mlbook/_supervised_learning_overview.html) -- [ ] Answer [Quiz 3](https://forms.gle/uzdzytpsYf9sFG946) +- [ ] Answer [Quiz 3](https://forms.gle/M2dDevwzicjcHLtc9) ---