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:
Get a solid understanding of Support Vector Machines (SVM)
Understand the business scenarios where Support Vector Machines (SVM) is applicable
Tune a machine learning model’s hyperparameters and evaluate its performance.
Use Support Vector Machines (SVM) to make predictions
Implementation of SVM models in Python
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
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:
6 hours on-demand video
3 downloadable resources
Full lifetime access
Access on mobile and TV
Certificate of completion
How to Subscribe for Support Vector Machines in Python: SVM Concepts & Code?
- Sign Up on Udemy.com
- Subscribe Here(Support Vector Machines in Python: SVM Concepts & Code): Click Here
Apply Coupon Code: FQDZCLF
Table of Contents