Introduction

Loading...
Просмотреть программу курса

Получаемые навыки

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

Рецензии

4.6 (оценок: 4,120)
  • 5 stars
    3,021 ratings
  • 4 stars
    844 ratings
  • 3 stars
    190 ratings
  • 2 stars
    35 ratings
  • 1 star
    30 ratings
PS

Jun 04, 2019

This is an excellent course. The programming exercises can be solved only when you get the basics right. Else, you will need to revisit the course material. Also, the forums are pretty interactive.

PS

Apr 03, 2018

Extremely useful course! You really get a lot of value from it and exactly what you would expect from such course! Very entertaining and a lot of additional educational materials! Thank You a lot!

Из урока
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.

Преподаватели

  • Kevyn Collins-Thompson

    Kevyn Collins-Thompson

    Associate Professor

Ознакомьтесь с нашим каталогом

Присоединяйтесь бесплатно и получайте персонализированные рекомендации, обновления и предложения.