user@devops:~$ cat README.md
Decision Trees — Penguin Classification
# Description
Decision trees project with scikit-learn to classify penguin species (Adelie, Chinstrap, Gentoo) using the Palmer Penguins dataset. Learn fundamental concepts: Gini Impurity for measuring node purity, feature importance for variable ranking, depth control to prevent overfitting, pruning with ccp_alpha, and full tree visualization with plot_tree. Understand why trees are more interpretable than KNN and don't require data scaling.
# Key features
$ Training decision trees with scikit-learn
$ Full tree visualization with plot_tree
$ Gini Impurity and node splitting criteria
$ Feature importance: ranking of the most important variables
$ Depth control (max_depth) to prevent overfitting
$ Cost-complexity pruning with ccp_alpha
# Gallery
# Technologies used
