Hyperparameter Tuning in SVM Hyperparameter Tuning in SVM

Hyperparameter Tuning in SVM

Hyperparameter Tuning in SVM

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Hyperparameter Tuning in SVM

Course Highlights:

  • SVMs are very well known for their performance on small and medium-sized datasets.
  • In this course, we are going to take a step forward in optimizing these algorithms for performance improvement through hyperparameter tuning.
  • These are popular courses sold by Analyttica across the globe.
  • Certificate by Analyttica on course completion.
  • FutureSkills Prime badge that can be added to your LinkedIn profile.

What will you learn in Hyperparameter Tuning in SVM course?

This course is designed for anyone who wants to become an expert in the working of SVM algorithms and understand the ways in which different hyperparameters affect the training of the model

Hyperparameter Tuning in SVM

  • skill-type-icon Skill Type
    Emerging Tech
  • domain-icon Domain
    AI/BD
  • course-category-icon Course Category
    Popular Tech Topics
  • certified-earned-icon Certificate Earned Partner Completion certificate
    • cost-white-icon Course Price
      INR 3,600
      + 18% GST
    • duration-white-icon Course Duration
      20 Hours
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Why you should take Hyperparameter Tuning in SVM course?

Through an experiential approach, the course will take you through the concepts of hyperparametric tuning in SVM models. You will learn-

  • Understanding the SVM model
  • Evaluate Hyperparameters
  • Tune Hyperparameters according to the model and business needs

Who should take Hyperparameter Tuning in SVM course?

Any enthusiast in Data Analytics can take the course

Curriculum

This course is divided into two modules containing,

  • 2 reading materials to teach you the theoretical concepts, one for each module.
  • 2 Audio-Video Collaterals
  • 4 practice "milestone-based" data cases to apply the skills gained to solve a business problem.
  • 4 quizzes to validate your learnings.
  • 2 datasets to solve a business case.

Tools you will learn in Hyperparameter Tuning in SVM course:

Analyttica TreasureHunt® LEAPS Virtual Lab

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