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Exploring Unsupervised Learning
Explore the fundamentals of unsupervised learning with this comprehensive lab. Through detailed steps and hands-on activities, you'll gain practical experience in implementing both clustering and dimensionality reduction techniques. You'll learn how to preprocess and clean data, build and train models using Python, and evaluate model performance using appropriate metrics. This lab will provide you with a solid foundation in unsupervised learning, essential for discovering patterns and structures in data without labeled responses.

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Real skill practice before real-world application
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
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On average, you retain 75% more of your learning if you take time to practice. Hands-on labs set you up for success to make those skills stick.