vijay-jaisankar/ML_TA_IIITB_2022
Contains material relevant to the AI511 Machine Learning Course
This collection of materials supports students learning machine learning concepts, providing structured sessions that cover core topics from introductory ideas to advanced techniques. It includes detailed explanations, practical examples, and assignments for topics like data preprocessing, various regression models, clustering, and neural networks. Students enrolled in a Machine Learning course would use this resource to deepen their understanding and practice applying algorithms.
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Use this if you are a student or educator looking for comprehensive course materials, practical exercises, and project guidance for a university-level machine learning course.
Not ideal if you are looking for a plug-and-play machine learning library for immediate application in a production environment or a non-educational context.
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Jan 30, 2023
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