Analytics Vidhya
Published in

Analytics Vidhya

Support Vector Machines (part 2)

SVM non-linear models and kernel-tricks

In the first part of this tutorial regarding SVM-algorithm linear model which I strongly recommend to read first, it was mentioned that SVM is used for solving both regression and classification problems and mostly used for classification as it has a great ability to classify by using either linear or non-linear modeling.

Read more …




Analytics Vidhya is a community of Analytics and Data Science professionals. We are building the next-gen data science ecosystem

Recommended from Medium

AirAsia Row: What DGCA’s Notice And Sacking Of Taneja Means For The Airline | 3 Point Analysis

Sentiment Analysis of Tweets using Naive Bayes in Python

Under-appreciated skills that are more important than Deep Learning

Zindi solutions: A useful open-source model of urban air quality for Africa

Data Source Link:

The Rise and Fall…And Rise Again of Data Center Cooling

Reasons Why Using R for Data Science Projects is Your Best

Phonetic posteriorgrams and the magic theycan do for audio!

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Ahmed Imam

Ahmed Imam

Founder of “Land of Sciences”,

More from Medium

Stochastic Gradient Descent in Python

Achieving True Accuracy Using Statistics

Hierarchical Clustering

A Complete Guide to Decision Tree Formation and Interpretation in Machine Learning

Homogeneous and Heterogeneous Data Node in Decision Tree