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In this course, you will: understand the basic concepts of machine learning; understand a typical memory-based method, the K nearest neighbor method; understand linear regression; understand model analysis. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
Syllabus
WEEK 1: The basic concepts of machine learning
WEEK 2: The k-Nearest Neighbors
WEEK 3: Linear Regression
WEEK 4: Logistic Regression
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.