Data Science

Supporting Vector Machines in Python, From Start to Finish

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Learn to import, manipulate, and format data in pandas, optimize parameters, and build, evaluate, and interpret support vector machines.

Key AI Functions:

Data Science,Python Programming,Machine Learning,Support Vector Machine (SVM),classification

Description for Supporting Vector Machines in Python, From Start to Finish

  • Importing data into and manipulating a pandas dataframe
  • Format the data for a support vector machine, which includes missing data and One-Hot Encoding.
  • Optimize the parameters for the classification and radial basis function.
  • Develop, assess, illustrate, and interpret a support vector machine.
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 1

    Offered by: On Coursera provided by Coursera Project Network

    Duration: 2 hours

    Schedule: Hands-on learning

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