3: Classification

Date: 23rd of October 2024

💡 Classification helps us to group data into predefined classes. Logistic Regression is a linear model used for binary classification, while K-means is an unsupervised clustering algorithm that categorizes data into clusters. Support Vector Machines (SVM) find an optimal hyperplane to separate data to make decisions based on feature attributes. Come to this session to explore and implement these three well-known classification methods! 💡

You can access our demonstration notebook here: 📘 Tutorial 3 Notebook

The folder contains notebooks for Logistic Regression, SVMs and K-Means. The solutions are available in the same folder.

You can access our slides here: 💻 Tutorial 3 Slides

The recording from this session is available here: 🎤 Tutorial 3 Recording