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學生對 Rhyme 提供的 Project: Support Vector Machines with scikit-learn 的評價和反饋

課程概述

In this project, you will learn the functioning and intuition behind a powerful class of supervised linear models known as support vector machines (SVMs). By the end of this project, you will be able to apply SVMs using scikit-learn and Python to your own classification tasks, including building a simple facial recognition model. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
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1 - Project: Support Vector Machines with scikit-learn 的 2 個評論(共 2 個)

創建者 Tanish M S

Mar 30, 2020

The instructor has mastery over these topics. I really enjoyed the session!

創建者 Rachana C

Mar 28, 2020

Need more thorpugh explanation of python libraries and functions.