Description
This course discusses the fundamentals of machine learning.
Topics include supervised/unsupervised learning, regression, decision trees, ensemble techniques, Vector Support Machines, perception, and multilayer perceptron.
The course focuses on the implementation of these algorithms in Python using Scikit-learn the library.
This course is designed to build the foundation of machine learning and AI and is a prerequisite for most of the advanced courses in AI and Deep Learning.
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