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Project: Support Vector Machines with scikit-learn

Project: Support Vector Machines with scikit-learn

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8.5/10 (Our Score)
Product is rated as #145 in category Data Science

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. Rhyme is Coursera’s hands–on project–based learning platform. On Rhyme, learners get instant access to pre–configured cloud desktops containing …

Instructor Details

Snehan Kekre is a Machine Learning and Data Science Instructor at Rhyme. He will graduate in 2021 with a BSc in Computer Science and Artificial Intelligence from Minerva Schools at KGI, based in San Francisco. His interests include AI safety and alignment research. He believes that building a deep, technical understanding of machine learning and AI among students and engineers is necessary in order to grow the AI safety community. This passion drives him to design hands-on, project-based Machine Learning Courses on Rhyme.

Specification: Project: Support Vector Machines with scikit-learn

Duration 4 hours
Year 2020
Level Beginner
Certificate Yes
Quizzes Yes

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Project: Support Vector Machines with scikit-learn
Project: Support Vector Machines with scikit-learn

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