Machine Learning Fundamentals

$1,950.00

Discusses the fundamentals of machine learning. Focuses on the implementation of these algorithms in Python using the Scikit-learn library.

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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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