Mastering SVM: A Comprehensive Guide with Code in Python
V-Support vector machine, slack variables, Support Vector Regression (SVR), Kernel Trick
5.00 (8 reviews)
35
students
3.5 hours
content
Jun 2023
last update
$59.99
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What you will learn
Maximum margin
slack variables
Data preprocessing
Standardizing features
Overfitting
Train the model
Kernel Trick
C parameter in support vector machine
Linear Classification in SVM
Non-linear SVM implementation
V-Support vector machine
Support Vector Regression (SVR)
Confusion matrix
Splitting the datasets into training and testing sets
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5153394
udemy ID
12/02/2023
course created date
21/06/2023
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