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 ...
A support Vector Machine (SVM) is essentially a supervised machine learning technique that may be applied to both classification and regression. The primary idea behind SVM is to plot each data point ...
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 ...
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 ...
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, ...
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, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results