Tag Archives: Data science tutorials in R

Machine Learning Classification in R using Support Vector Machine with IRIS Dataset

Hits: 330   Machine Learning Classification in R using Support Vector Machine (SVM) with IRIS Dataset is a popular technique used in Data Science to classify data into different categories. SVM is a supervised learning algorithm that can be used for both classification and regression tasks. The main idea behind SVM is to find a …

Machine Learning Classification in R | Quadratic Discriminant Analysis | Data Science for Beginners

Hits: 171    Machine learning is a method of teaching computers to learn from data, without being explicitly programmed. In this article, we will discuss how to use the QDA (Quadratic Discriminant Analysis) model for classification in R using the IRIS dataset from the UCI machine learning repository. The IRIS dataset is a well-known dataset …