Ready to dig into Data Science? We’ve got something coming next week you don’t want to miss: FREE ACCESS to our Python for Data Science Learning Path! 🤯 Take a look at the third course in the series, ...

Implementing supervised learning for classification problems will be the main topic of the next few posts. The classifier method or model seeks to draw some inference from the values that were ...

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 ...

Time and place: The course consists of two sessions: Monday 6th, 12:15-15:00, in seminar room Java, Ole-Johan Dahls hus Wednesday May 8th, 09:15-12:00, in seminar room Prolog, Ole-Johan Dahls hus ...

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 ...

I used German Traffic Sign Recognition Benchmark (GTSRB) as training, validation and test datasets. Images inside the dataset have arbitrary image dimensions which makes the training process a little ...