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Tutorials on Supervised Machine Learning
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33 b
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Tutorials on Supervised Machine Learning is an easy-to-follow guide that introduces key supervised learning algorithms such as linear regression, logistic regression, decision trees, random forests, SVM, and neural networks through simple, practical examples. The book focuses on hands-on learning, with datasets available on the publisher's blog (MSP: https://madhurjyasaikiabooks.blogspot.com/) for practice.
The author also shares career advice and insights on their blog, The Review (https://authenticmedia2020.blogspot.com/), making the book a useful starting point for beginners exploring machine learning and data science.
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