Key Concepts in Machine Learning

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From the course by University of Michigan
Applied Machine Learning in Python
779 ratings
University of Michigan

Applied Machine Learning in Python

779 ratings
Course 3 of 5 in the Specialization Applied Data Science with Python
From the lesson
Module 1: Fundamentals of Machine Learning - Intro to SciKit Learn
This module introduces basic machine learning concepts, tasks, and workflow using an example classification problem based on the K-nearest neighbors method, and implemented using the scikit-learn library.

Meet the Instructors

  • Kevyn Collins-Thompson
    Kevyn Collins-Thompson
    Associate Professor
    School of Information