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.

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.

Reviews

There are no reviews yet.

Be the first to review “Machine Learning Fundamentals”

Your email address will not be published. Required fields are marked *