XGBoost and Random Forest gave the best overall performance on this tabular dataset Neural networks didn’t outperform tree-based models without more tuning KNN only worked properly after scaling ...

“audio-classification-python” is a project assembled to explore and implement audio classification tasks using Python. At its core the repository contains Jupyter notebooks that guide a user through ...

Target audience: UiO reseachers and students who want to get started with machine learning in Python. A video (approximately 25 minutes) has been prepared that might be useful for those that are ...