@@ -74,6 +74,13 @@ These are for recapping after the course in case you missed anything, and contai
7474[ linted] ( https://docs.pylint.org/intro.html ) , and conforming to the
7575[ black] ( https://black.readthedocs.io/en/stable/ ) code style.
7676
77+ If you were working on Colab you can open the worked solutions using the following links:
78+
79+ * [ Exercise 01] ( https://colab.research.google.com/github/Cambridge-ICCS/ml-training-material/blob/colab/worked-solutions/01_penguin_classification_solutions.ipynb )
80+ * [ Exercise 02] ( https://colab.research.google.com/github/Cambridge-ICCS/ml-training-material/blob/colab/worked-solutions/02_penguin_regression_solutions.ipynb )
81+ * [ Exercise 03] ( https://colab.research.google.com/github/Cambridge-ICCS/ml-training-material/blob/colab/worked-solutions/03_mnist_classification_solutions.ipynb )
82+ * [ Exercise 04] ( https://colab.research.google.com/github/Cambridge-ICCS/ml-training-material/blob/colab/worked-solutions/04_ellipse_regression_solutions.ipynb )
83+
7784
7885## Preparation and prerequisites
7986
@@ -246,20 +253,6 @@ _Notes:_
246253* _ Due to the limited resources provided by binder you will struggle to run training in
247254 exercises 3 and 4._
248255
249- ### Worked Solutions
250- Worked solutions for all of the exercises can be found in the [ worked solutions] ( worked-solutions/ ) directory.
251- These are for recapping after the course in case you missed anything, and contain ideal solutions complete with
252- [ docstrings] ( https://peps.python.org/pep-0257/ ) , outfitted with
253- [ type hints] ( https://docs.python.org/3/library/typing.html ) ,
254- [ linted] ( https://docs.pylint.org/intro.html ) , and conforming to the
255- [ black] ( https://black.readthedocs.io/en/stable/ ) code style.
256-
257- If you were working on Colab you can open the worked solutions using the following links:
258-
259- * [ Exercise 01] ( https://colab.research.google.com/github/Cambridge-ICCS/ml-training-material/blob/colab/worked-solutions/01_penguin_classification_solutions.ipynb )
260- * [ Exercise 02] ( https://colab.research.google.com/github/Cambridge-ICCS/ml-training-material/blob/colab/worked-solutions/02_penguin_regression_solutions.ipynb )
261- * [ Exercise 03] ( https://colab.research.google.com/github/Cambridge-ICCS/ml-training-material/blob/colab/worked-solutions/03_mnist_classification_solutions.ipynb )
262- * [ Exercise 04] ( https://colab.research.google.com/github/Cambridge-ICCS/ml-training-material/blob/colab/worked-solutions/04_ellipse_regression_solutions.ipynb )
263256
264257
265258## JOSE Publication
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