The Supervised Learning Workshop, Second Edition

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Cut through the noise and achieve real results with a step-by-step approach to understanding supervised learning algorithms. This resource is ideal for beginners in machine learning, offering a structured tutorial with exercises that build essential skills at your own pace. By learning through practical application, you'll focus on deploying solutions that utilize key supervised learning algorithms, all while avoiding unnecessary theory. Whether you have a few minutes or an entire weekend, you can engage with exercises tailored to your schedule, reinforcing your skills in a rewarding manner. Purchasing a physical print copy grants you free access to an online interactive edition, featuring videos for all exercises, assessments for benchmarking, and progress tracking. Completing the course earns you a secure credential to share online, enhancing your learning experience. This fast-paced guide is perfect for those with some Python knowledge, allowing you to apply algorithms like a data scientist and solidifying your skills as best practices. You'll learn to understand supervised learning fundamentals, utilize Python libraries, load datasets in pandas, visually represent data with various plots, and differentiate between regression and classification. This comprehensive approach lays a strong foundation for your future in machine learning.