@@ -10,4 +10,4 @@ The objective of this lab is to introduce Trees, Tree pruning and then boosting
4. Boosting : random forest regression case study ['N3_a_Random_Forest_Regression.ipynb'](https://gricad-gitlab.univ-grenoble-alpes.fr/ai-courses/autonomous_systems_ml/-/blob/master/notebooks/9_Trees_Boosting/N3_a_Random_Forest_Regression.ipynb)
5. Boosting : random forest classification case study ['N3_b_Random_Forest_Classif.ipynb'](https://gricad-gitlab.univ-grenoble-alpes.fr/ai-courses/autonomous_systems_ml/-/blob/master/notebooks/9_Trees_Boosting/N3_a_Random_Forest_Classif.ipynb)
5. Boosting : random forest classification case study ['N3_b_Random_Forest_Classif.ipynb'](https://gricad-gitlab.univ-grenoble-alpes.fr/ai-courses/autonomous_systems_ml/-/blob/master/notebooks/9_Trees_Boosting/N3_b_Random_Forest_Classif.ipynb)
