Support Vector Machines in Python, From Start to Finish

4.6
stars

148 ratings

Offered By

4,897 already enrolled

In this Guided Project, you will:

Import data into, and manipulating a pandas dataframe

Format the data for a support vector machine, including One-Hot Encoding and missing data.

Optimize parameters for the radial basis function and classification

Build, evaluate, draw and interpret a support vector machine

2 hours
Intermediate
No download needed
Split-screen video
English
Desktop only

In this lesson we will built this Support Vector Machine for classification using scikit-learn and the Radial Basis Function (RBF) Kernel. Our training data set contains continuous and categorical data from the UCI Machine Learning Repository to predict whether or not a patient has heart disease. 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 (e.g. Python, Jupyter, and Tensorflow) pre-installed. Prerequisites: In order to be successful in this project, you should be familiar with programming in Python and the concepts behind Support Vector Machines, the Radial Basis Function, Regularization, Cross Validation and Confusion Matrices. 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.

Skills you will develop

  • Data Science

  • Machine Learning

  • Python Programming

  • Support Vector Machine (SVM)

  • classification

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Import the modules that will do all the work

  2. Import the data

  3. Missing Data Part 1: Identifying Missing Data

  4. Missing Data Part 2: Dealing With Missing Data

  5. Format Data Part 1: Split the Data into Dependent and Independent Variables

  6. Format the Data Part 2: One-Hot Encoding

  7. Format the Data Part 3: Centering and Scaling

  8. Build A Preliminary Support Vector Machine

  9. Optimize Parameters with Cross Validation

  10. Building, Evaluating, Drawing, and Interpreting the Final Support Vector Machine

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Reviews

TOP REVIEWS FROM SUPPORT VECTOR MACHINES IN PYTHON, FROM START TO FINISH

View all reviews

Frequently Asked Questions

By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.

Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.

Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.

You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.

Guided Projects are not eligible for refunds. See our full refund policy.

Financial aid is not available for Guided Projects.

Auditing is not available for Guided Projects.

At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.

Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.

You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.