YoVDO

Linear SVM Classification(Soft Margin) -using Scikit Learn

Offered By: Coursera Project Network via Coursera

Tags

Support Vector Machine (SVM) Courses Machine Learning Courses Python Courses scikit-learn Courses

Course Description

Overview

Linear SVM Classification(Soft Margin) -using Scikit Learn

Syllabus

  • Project Overview
    • In this 1-hour long project-based course, you will learn 'Support Vector Machines' model in Machine Learning ,we will focus to perform linear SVM Classification. (Set up the environment, Illustrate Large Margin Classification and Sensitivity to features & Outliers, Demonstrate Large margin vs margin violations using Python Code and scientific libraries).This project gives you easy access to the invaluable learning techniques used by experts. This project favors a hands on approach, growing an intuitive understanding of machine learning through concrete working examples and just a little bit of theory .

Taught by

Dr. Ashish Dikshit, PHD

Related Courses

Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript
University of Michigan via Coursera
A Practical Introduction to Test-Driven Development
LearnQuest via Coursera
FinTech for Finance and Business Leaders
ACCA via edX
Access Bioinformatics Databases with Biopython
Coursera Project Network via Coursera
Accounting Data Analytics
University of Illinois at Urbana-Champaign via Coursera