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Non Linear SVM Classification -using SCKIT 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

Non Linear SVM Classification -using SCKIT 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 Non linear SVM Classification. [Add features to make a dataset linearly separable,Build linear SVM Classifier using Polynomial features, Build SVM classifiers with a polynomial kernel,Illustrate similarity feature using Gaussian RBF,Build SVM Classifiers using an RBF kernel( 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 .
      I highly recommend your experiment with the code examples in parallel as discussed in the lecture

Taught by

Dr. Ashish Dikshit, PHD

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