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@@ -17,7 +17,6 @@ Have fun!
(You can also find the course syllabus on the last page of the course description.)
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### Part 1:
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##### Block 1.3:
- [ ] Read the whole chapter: ["Data & Preprocessing"](https://franziskahorn.de/mlbook/_data_preprocessing.html)
- [ ] Answer [Quiz 2](https://forms.gle/uzdzytpsYf9sFG946)
- [ ] 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)
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- [ ] Read the whole chapter: ["Avoiding Common Pitfalls"](https://franziskahorn.de/mlbook/_avoiding_common_pitfalls.html)
##### Block 4.2:
- [ ] Answer [Quiz 4](/exercises/1_visualize_text.ipynb)
- [ ] Answer [Quiz 4](https://forms.gle/uZGj54YQHKwckmL46)
- [ ] Work through [Notebook 6: analyze toy dataset](/exercises/6_analyze_toydata.ipynb)
##### Block 4.3:
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#### Part 5:
### Part 5:
##### Block 5.1:
- [ ] Read the whole chapter: ["ML Algorithms: Reinforcement Learning"](https://franziskahorn.de/mlbook/_ml_algorithms_reinforcement_learning.html)
##### Block 5.2:
- [ ] Answer [Quiz 5](https://forms.gle/uzdzytpsYf9sFG946)
- [ ] Answer [Quiz 5](https://forms.gle/fr7PYmP9Exx4Vvrc8)
- [ ] Read the whole chapter: ["Conclusion: Using ML in Practice"](https://franziskahorn.de/mlbook/_conclusion_using_ml_in_practice.html)
- [ ] Complete the exercise: ["Your next ML Project"](https://forms.gle/uzdzytpsYf9sFG946)
- [ ] Complete the exercise: ["Your next ML Project"](/cheatsheet.pdf)
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