Voltar para Project: Support Vector Machines with scikit-learn
Comentários e feedback de alunos de Project: Support Vector Machines with scikit-learn da instituição Rime
9 classificações
Sobre o curso
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.
Filtrar por:
1 — 2 de {totalReviews} Avaliações para o Project: Support Vector Machines with scikit-learn
por Tanish M S
•Mar 30, 2020
The instructor has mastery over these topics. I really enjoyed the session!
por Rachana C
•Mar 28, 2020
Need more thorpugh explanation of python libraries and functions.
© 2020 Coursera Inc. Todos os direitos reservados.
