ML SVM

Intermediate Level

02:05 hrs

What you will learn:

Explain the core concepts of Support Vector Machines.Describe the importance of SVM in machine learning.Illustrate how SVM operates under the hood.Identify different kernel functions and their applications.Implement SVM algorithms using Python effectively.Apply best practices for optimizing SVM models.

Badge

240 edCoins bonus

2157 Enrolled

4.7 Rating

Skills you will gain

Support Vector MachinesSVM MechanicsKernelsModel EvaluationSVM Implementation in Python

Introduction to SVM

SVM Mechanics

SVM Implementation

ML SVM

Course Modules

1. Introduction to SVM23 mins60 Edcoins

2. SVM Mechanics49 mins90 Edcoins

3. SVM Implementation53 mins90 Edcoins