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In this one hour long project-based course, you will learn the basics of support vector machines using Python and scikit-learn. The dataset we are going to use comes from the National Institute of Diabetes and Digestive and Kidney Diseases, and contains anonymized diagnostic measurements for a set of female patients. We will train a support vector machine to predict whether a new patient has diabetes based on such measurements. By the end of this course, you will be able to model an existing dataset with the goal of making predictions about new data. This is a first step on the path to mastering machine learning.
Note: 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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von Vishnu R
•11. Juli 2020
von Yasir A
•13. Sep. 2020
von Nikita H
•22. Sep. 2020
von ANURAG P
•11. Juli 2020
von Diana C
•22. Nov. 2020
von ESTEBAN P J
•16. Sep. 2021
von Gregory G J
•7. Jan. 2021
von Kamlesh C
•27. Aug. 2020
von VINAYAK M
•20. Juli 2020
von Isaac S
•8. Juli 2020
von Edward N
•25. Sep. 2021
von Himanka K
•12. März 2022
von Ran B R
•9. Juni 2021
von Rushikesh S
•12. Juli 2020
von Shubhra P
•23. Juli 2020
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