Applied Machine Learning: Supervised Learning
Applied Machine Learning: Supervised Learning
Released: 07/2025
Duration: 2h 26m 34s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 389.96 MB
Genre: eLearning | Language: English
Released: 07/2025
Duration: 2h 26m 34s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 389.96 MB
Genre: eLearning | Language: English
In this course, Matt Harrison—a Python and data science corporate trainer, author, speaker, consultant, and advisor—shows you how to apply supervised learning techniques to real-world problems, focusing on both classification and regression tasks. Start with basic models like linear regression, and then advance to more complex algorithms like decision trees and XGBoost. Plus, explore model evaluation, optimization, and deployment techniques. With practical challenges and solutions, this course prepares you to apply supervised learning to solve problems in industries like healthcare, finance, and real estate.
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