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 ...

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 ...

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, ...