This assignment took place in the course "Machine-Learning" of Aristotle University of Thessaloniki at 8th Semester. It contains three parts which described below.
This part focused on utilizing iPython Notebooks, basic numpy and pandas functions, building a linear model from scratch, and employing basic functions of scikit-learn.
This part involved using the scikit-learn library to train a model from scratch and understanding decision trees.
This part tested understanding of Ensemble Methods
The files of the assignment were created with conda 4.10.1.
If there are any questions, create an issue in this repository.