Machine Learning and AI: Support Vector Machines in Python

Artificial Intelligence and Data Science Algorithms in Python for Classification and Regression
4.70 (1870 reviews)
Udemy
platform
English
language
Data Science
category
Lazy Programmer Inc.
instructor
Machine Learning and AI: Support Vector Machines in Python
29,269
students
9 hours
content
Mar 2025
last update
$74.99
regular price

What you will learn

Apply SVMs to practical applications: image recognition, spam detection, medical diagnosis, and regression analysis

Understand the theory behind SVMs from scratch (basic geometry)

Use Lagrangian Duality to derive the Kernel SVM

Understand how Quadratic Programming is applied to SVM

Support Vector Regression

Polynomial Kernel, Gaussian Kernel, and Sigmoid Kernel

Build your own RBF Network and other Neural Networks based on SVM

Screenshots

Machine Learning and AI: Support Vector Machines in Python - Screenshot_01Machine Learning and AI: Support Vector Machines in Python - Screenshot_02Machine Learning and AI: Support Vector Machines in Python - Screenshot_03Machine Learning and AI: Support Vector Machines in Python - Screenshot_04
Related Topics
2020688
udemy ID
11/11/2018
course created date
9/10/2019
course indexed date
Bot
course submited by