diff --git a/content/exercises/_index.md b/content/exercises/_index.md index 3b3b018..c87c0ad 100644 --- a/content/exercises/_index.md +++ b/content/exercises/_index.md @@ -4,20 +4,20 @@ title: Exercises __Exercises for Chapters 1-10 (LMU Lecture I2ML):__ -| | Exercise | Solution | Python Solution | +| | HTML | Jupyter | PDF | | ------------| ---------------- | ------------------ | ------------------ | -| Exercise 1  | [ML basics](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_ml-basics.pdf) | [ML basics](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_ml-basics.pdf) | | -| Exercise 2  | [Regression](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_regression.pdf) | [Regression](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_regression.pdf) | [Regression](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/supervised-regression/sol_regression_py.ipynb) | -| Exercise 3  | [Classification I](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_classification_1.pdf) | [Classification I](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_classification_1.pdf) | | -| Exercise 4  | [Classification II](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_classification_2.pdf) | [Classification II](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_classification_2.pdf) | [Classification II](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/supervised-classification/sol_classification_2_py.ipynb) | -| Exercise 5  | [Evaluation I](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_eval_1.pdf) | [Evaluation I](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_eval_1.pdf) | [Evaluation I](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/evaluation/sol_eval_1_py.ipynb) | -| Exercise 6  | [Evaluation II](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_eval_2.pdf) | [Evaluation II](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_eval_2.pdf) | [Evaluation II](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/evaluation/sol_eval_2_py.ipynb) | -| Exercise 7  | [Evaluation III](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_eval_3.pdf) | [Evaluation III](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_eval_3.pdf) | [Evaluation III](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/evaluation/sol_eval_3_py.ipynb) | -| Exercise 8  | [CART](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_trees.pdf) | [CART](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_trees.pdf) | [CART](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/trees/sol_trees_py.ipynb) | -| Exercise 9  | [Random forests](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_forests.pdf) | [Random forests](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_forests.pdf) | [Random forests](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/forests/sol_forests_py.ipynb) | -| Exercise 10  | [Neural networks](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_nn.pdf) | [Neural networks](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_nn.pdf) | -| Exercise 11  | [Tuning](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_tuning.pdf) | [Tuning](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_tuning.pdf) | [Tuning](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/tuning/sol_tuning_py.ipynb) | -| Exercise 12  | [Nested resampling](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_nested_resampling.pdf)  | [Nested resampling](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_nested_resampling.pdf)  | [Tuning](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/nested-resampling/sol_nested_resampling_py.ipynb) | +| Exercise 1  | [ML basics](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/ml-basics/ml-basics.html) | | [Exercise](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ml-basics_ex.pdf), [Solution](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ml-basics_all.pdf) | +| Exercise 2  | [Regression](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/supervised_regression/regression.html) | [R solution](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/supervised-regression/sol_regression_R.ipynb), [Python solution](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/supervised-regression/sol_regression_py.ipynb) |[Exercise](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_regression.pdf), [Solution](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_regression.pdf) | +| Exercise 3  | [Classification I](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/supervised-classification/classification_1.html) | | [Exercise](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/classification_1_ex.pdf), [Solution](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/classification_1_all.pdf) | +| Exercise 4  | [Classification II](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/supervised-classification/classification_2.html) | [R solution](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/supervised-classification/sol_classification_2_R.ipynb), [Python solution](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/supervised-classification/sol_classification_2_py.ipynb) | [Exercise](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/classification_2_ex.pdf), [Solution](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/classification_2_all.pdf) | +| Exercise 5  | [Evaluation I](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/evaluation/evaluation_1.html) | [R solution](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/evaluation/sol_eval_1_R.ipynb), [Python solution](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/evaluation/sol_eval_1_py.ipynb) | [Exercise](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/evaluation_1_ex.pdf), [Solution](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/evaluation_1_all.pdf) | +| Exercise 6  | Evaluation II | R solution, [Python solution](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/evaluation/sol_eval_2_py.ipynb) | [Exercise](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_eval_2.pdf), [Solution](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_eval_2.pdf) | +| Exercise 7  | Evaluation III | R solution, [Python solution](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/evaluation/sol_eval_3_py.ipynb) | [Exercise](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_eval_3.pdf), [Solution](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_eval_3.pdf) | +| Exercise 8  | CART | R solution, [Python solution](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/trees/sol_trees_py.ipynb) | [Exercise](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_trees.pdf), [Solution](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_trees.pdf) | +| Exercise 9  | Random forests | R solution, [Python solution](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/forests/sol_forests_py.ipynb) | [Exercise](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_forests.pdf), [Solution](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_forests.pdf) | +| Exercise 10  | Neural networks | | [Exercise](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_nn.pdf), [Solution](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_nn.pdf) | +| Exercise 11  | Tuning | R solution, [Python solution](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/tuning/sol_tuning_py.ipynb)| [Exercise](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_tuning.pdf), [Solution](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_tuning.pdf) | +| Exercise 12  | Nested resampling | R solution, [Python solution](https://github.com/slds-lmu/lecture_i2ml/blob/master/exercises/nested-resampling/sol_nested_resampling_py.ipynb) | [Exercise](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/ex_nested_resampling.pdf), [Solution](https://github.com/slds-lmu/lecture_i2ml/raw/master/exercises-pdf/sol_nested_resampling.pdf)  |