Tags » SVM

SVM - Applications in Python - Part 4

In this post we will finally run our data through an SVM. We are continuing with the code of Rohit Shankar. In the last post we found the best parameters for our model. 563 more words

Tutorial

SVM - Applications in Python - Part 3

In this post we will finally run our data through an SVM. We are continuing with the code of Rohit Shankar. First we will split the data into the training set and testing set and separate the classes from their predictors: 521 more words

Tutorial

Who wrote this text? Authorship attribution with SVM

Authorship attribution is the task of detecting who has written a certain text. As a famous example, researchers unmasked crime writer Robert Galbraith to in fact be J.K. 1,442 more words

Authorship Attribution

Fundamentals: Discrete Classifiers

I hope for this space to be a running summary of my work as well as a reference both for myself and others as I develop and explore new ideas. 975 more words

Machine Learning

SVM - Applications in Python - Part 2

Last week we were working on an SVM for the credit card fraud dataset. We will continue going through Rohith Shankar’s notebook available here… 513 more words

Tutorial

Galaxy Clusters and Machine Learning - I :: Creating Mock Cluster Catalogs

1. Introduction

I’ll start this post with the same line that pretty much any paper or article on galaxy clusters ever begins with: Galaxy clusters… 1,855 more words

Data Science

SVM - Applications in Python - Part 1

In the previous posts, we laid out the foundations needed to have a deeper understanding of Support Vector Machines. In the coming posts we will go further into the practical applications of SVM’s and how to use them in Python. 378 more words

Tutorial