In this module we are going to walk together through an overview of the most important algorithms in supervised and unsupervised learning.
Goals:
1) Understand all the basic supervised learning algorithms like SVMs and random forests
2) understand the basic unsupervised learning algorithms, like K-means
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Lesson 1: Machine learning basics
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Lesson 2: Linear and non-linear models
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Lesson 3: Lazy learners, decision trees and ensembles
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Lesson 4: Training ML models
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Lesson 5: Unsupervised learning basics
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Lesson 6: Summary
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Quiz
Instructor
$599.00