Last updated: Jan 19, 2022

Support Vector Machine (SVM)

Support Vector Machines are supervised machine learning algorithms that are particularly efficient for large numbers of samples. Learn how to put it into practice through applications.

Implementing Support Vector Machine

In this blog, we’ll implement the support vector machine model using a breast cancer dataset. The task is to classify if a person has Breast Cancer or not from the given features.

Author Chaturvedi

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Understanding the idea behind Kernels

In this blog, we’ll learn about the idea behind Kernels in SVM. The primary technique to develop a more complex non-linear classifier is by using Kernels. So let’s explore the Kernels in-depth with this blog.

Author Chaturvedi

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SVM Hyperparameter Tuning using GridSearchCV

This blog aims to understand the theoretical and practical implementation of SVM hyperparameter tuning using GridSearchCV.

Author Toohina Barua

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Combining SVM & SGD in Machine Learning MEDIUM

In this article, we will discuss the topic named combining SVM and SGD in machine learning with proper explanation and graph images.

Author Kanak Rana

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