K-Nearest Neighbors: Classification and Regression

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강의 계획서 보기

배우게 될 기술

Python Programming, Machine Learning (ML) Algorithms, Machine Learning, Scikit-Learn

검토

4.6(3,680개의 평가)
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SS

Aug 19, 2017

the content of videos , quiz and exercise all work extremely well together towards the stated goal of the course i.e. to give the learner a good over view of how to apply ML theories into action

MB

Jun 19, 2017

Not for the faint of heart and some experience with Python, in particular Pandas, is preferred. Great overview of the different methods used in machine learning. One of the better courses imo.

수업에서
Module 2: Supervised Machine Learning - Part 1

강사:

  • Kevyn Collins-Thompson

    Kevyn Collins-Thompson

    Associate Professor

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