Unsupervised Learning and Recommendations (6/6) | Machine Learning with Python: Zero to GBMs

💻 Lecture 6 of the Machine Learning with Python: Zero to GBMs course. In this lesson, you will learn how to use unsupervised learning algorithms in Scikit-learn. Course page: 🔗 Notebooks used: 🎯 Topics Covered - Overview of unsupervised learning algorithms in Scikit-learn - Clustering algorithms: K Means, DBScan, Hierarchical clustering, etc. - Dimensionality reduction (PCA) and manifold learning (t-SNE) - Creating a recommender system using collaborative filtering ⌚ Time Stamps COMING SOON 💻 Join the Jovian Discord Server: ❓ Ask questions on the Jovian Forum: 🎤 About the speaker Aakash N S is the co-founder and CEO of Jovian - a community learning platform for data science & ML. Previously, Aakash has worked as a software engineer (APIs & D