Hands on Machine Learning - Unsupervised Learning

Hands on Machine Learning - Unsupervised Learning

Explore unsupervised learning techniques in this comprehensive video tutorial based on Chapter 9 of "Hands-on Machine Learning with Scikit-Learn, Keras & Tensorflow." Dive into key concepts such as clustering, dimensionality reduction, and semi-supervised learning. Learn to import and preprocess data, implement mini-batching, and evaluate clustering performance using silhouette scores and diagrams. Discover practical applications like image segmentation and gain insights into advanced topics including PCA, Gaussian Mixture Models, and Bayesian Gaussian Mixture Models. Follow along with code examples and visualizations to enhance your understanding of these powerful machine learning techniques.