Free Certification Course Title: Support Vector Machines in Python: SVM Concepts & Code
Learn Support Vector Machines in Python. Covers basic SVM models to Kernel-based advanced SVM models of Machine Learning
What you’ll learn:
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Get a solid understanding of Support Vector Machines (SVM)
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Understand the business scenarios where Support Vector Machines (SVM) is applicable
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Tune a machine learning model’s hyperparameters and evaluate its performance.
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Use Support Vector Machines (SVM) to make predictions
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Implementation of SVM models in Python
Requirements:
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Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same
Who this course is for:
- People pursuing a career in data science
- Working Professionals beginning their Data journey
- Statisticians needing more practical experience
- Anyone curious to master SVM technique from Beginner to Advanced in short span of time
Description:
You’re looking for a complete Support Vector Machines course that teaches you everything you need to create a Support Vector Machines model in Python, right?
You’ve found the right Support Vector Machines techniques course!
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course.
This course includes:
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6 hours on-demand video
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3 articles
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3 downloadable resources
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Full lifetime access
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Access on mobile and TV
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Certificate of completion
