Support Vector Machines in Python: SVM Concepts & Code [FREE]

July 13, 2022

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

Support Vector Machines in Python: SVM Concepts & Code

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

Requirements:

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.