Unsupervised Learning in Python

About This Course

In this course, you will delve into unsupervised learning techniques using Python, which are essential for uncovering patterns within complex datasets. For example, if you possess customer data characterized by attributes such as age, location, and financial history, this course will equip you to identify groups or clusters within that data. Additionally, you will learn to categorize texts, such as Wikipedia pages, based on their content. Unsupervised learning is distinct because it reveals hidden structures from unlabeled data without a predefined outcome. Throughout the course, you will become proficient in various techniques, including clustering, dimensionality reduction, and matrix factorization, utilizing libraries such as scikit-learn and SciPy. By the end of the course, you will apply these skills to develop a recommender system that suggests popular musical artists based on user preferences.