README.md

Machine-Learning-exercises

Exercises in applications of machine learning.
These exercises were completed as assignment for the course "Machine Learning"/"Μηχανική Μάθηση".

Topics

1. Linear Models
   • Data manipulation exercises.
   • Implementation and testing of linear models from scratch.
2. Tree Models
   • Exercises on:
     • Basic decision trees.
     • Pipelines.
     • Decision tree model tuning with grid search.
3. Ensemble Models
   • Exercises on:
     • Voting classifier ensemble using simple models.
     • Stacking classifier using complex models.
     • Ensembles using decision trees.

More details can be found inside the notebooks.