Support Vector Machine

bird, robin, bird watching-7767577.jpg

Top 7 Support Vector Machine (SVM) Interview Questions for Data Science and Machine Learning

The support vector machine (SVM) model is a frequently asked interview topic for data scientists and machine learning engineers. In this tutorial, we will talk about the top 7 support vector machine (SVM) interview questions and how to answer them. The 7 questions are: Resources for this post: Let’s get started! Question 1: How does …

Top 7 Support Vector Machine (SVM) Interview Questions for Data Science and Machine Learning Read More »

One Class SVM Anomaly Detection

One-Class Support Vector Machine (SVM) For Anomaly Detection

One-Class Support Vector Machine (SVM) is an unsupervised model for anomaly or outlier detection. Unlike the regular supervised SVM, the one-class SVM does not have target labels for the model training process. Instead, it learns the boundary for the normal data points and identifies the data outside the border to be anomalies. In this post, …

One-Class Support Vector Machine (SVM) For Anomaly Detection Read More »

Support Vector Machine (SVM) Hyperparameter Tuning In Python

Support Vector Machine (SVM) Hyperparameter Tuning In Python

Support Vector Machine (SVM) is a supervised machine learning model for classifications and regressions. Since SVM is commonly used for classification, we will use the classification model as an example in this tutorial. We will cover: Resources for this post: Step 1: Support Vector Machine (SVM) algorithm In step 1, we will discuss the intuition …

Support Vector Machine (SVM) Hyperparameter Tuning In Python Read More »