Rich Ecosystem: Includes major libraries such as scikit-learn, PyTorch, and TensorFlow. Beginner-Friendly: Jupyter + pandas allows for a seamless workflow from data visualization and preprocessing to ...

Naive Bayes classification is a machine learning technique that can be used to predict the class of an item based on two or more categorical predictor variables. For example, you might want to predict ...

We use Python's data science stack (i.e. numpy, pandas, matplotlib, scikit-learn, jupyter) for this work. 2. Analysis and Classification of Music Genre Dataset (Part 1) For part 1, we use a modified ...

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 ...

This repository contains my personal journey and practical implementations based on the book Imbalanced Classification with Python by Jason Brownlee. The goal of this project is to document my ...

Time and place: The course consists of two sessions: Tuesday 5th November, 12:15-15:00, in seminar room Prolog, Ole-Johan Dahls hus Thursday 7th November, 12:15-15:00, in seminar room Postscript, ...