Examining the Data

Loading...

您将学习的技能

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

审阅

4.7(3,500 个评分)
  • 5 stars
    2,563 ratings
  • 4 stars
    722 ratings
  • 3 stars
    161 ratings
  • 2 stars
    29 ratings
  • 1 star
    25 ratings
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.

JL

Aug 20, 2018

Concise and clear presentation of the material with the majority of time focused around using TDD to learn and practice concepts through developing solutions to open ended coding challenges.

从本节课中
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.

教学方

  • Kevyn Collins-Thompson

    Kevyn Collins-Thompson

    Associate Professor

探索我们的目录

免费加入并获得个性化推荐、更新和优惠。