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ML QB

The document outlines a comprehensive curriculum on machine learning, covering various topics such as types of machine learning, supervised and unsupervised learning, and reinforcement learning. It includes detailed explanations of algorithms like linear regression, logistic regression, decision trees, and clustering methods, as well as performance measures and recommendation systems. Each unit addresses key concepts, algorithms, and applications relevant to machine learning and data analysis.

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durukadam01
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35 views6 pages

ML QB

The document outlines a comprehensive curriculum on machine learning, covering various topics such as types of machine learning, supervised and unsupervised learning, and reinforcement learning. It includes detailed explanations of algorithms like linear regression, logistic regression, decision trees, and clustering methods, as well as performance measures and recommendation systems. Each unit addresses key concepts, algorithms, and applications relevant to machine learning and data analysis.

Uploaded by

durukadam01
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF or read online on Scribd
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