The Unsupervised Learning Workshop
With the help of engaging practical activities, The Unsupervised Learning Workshop teaches you how to apply unsupervised machine learning algorithms on enormous, cluttered datasets. You’ll learn the best techniques and approaches and work on real-time datasets with this hands-on guide for beginners.
Offered by
Difficulty Level
Intermediate
Completion Time
18h20m
Language
English
About Book
Who Is This Book For?
If you are a data scientist who is just getting started and want to learn how to implement machine learning algorithms to build predictive models, then this book is for you. To expedite the learning process, a solid understanding of the Python programming language is recommended, as you’ll be editing classes and functions instead of creating them from scratch.
The Unsupervised Learning Workshop
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 18h20m total length
Introduction to Clustering
Hierarchical Clustering
Neighborhood Approaches and DBSCAN
Dimensionality Reduction Techniques and PCA
Autoencoders
t-Distributed Stochastic Neighbor Embedding
Topic Modeling
Market Basket Analysis
Hotspot Analysis
Related Resources
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