Machine learning and data science are powerful tools that can help us make predictions and gain insights from large amounts of data. One way to learn about these techniques is by using them to analyze a dataset. In this article, we will explore how to use support vector machines (SVMs) in R to classify mushrooms …
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 hyperplane that …
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 in …
Machine Learning with Boston House Price Dataset in R | R Data Science for beginners & data analysts
The Boston House Price dataset from UCI (University of California, Irvine) is a collection of 506 observations and 13 features that are used to predict the median value of owner-occupied homes in Boston. Each observation represents a neighborhood in Boston, and each feature represents a measure of the neighborhood’s characteristics. The dataset includes features …
The Abalone dataset from UCI (University of California, Irvine) is a collection of 4177 observations and 8 features that are used to predict the age of abalone, which is a type of sea snail. Each observation represents an individual abalone, and each feature represents a measure of the abalone’s physical characteristics. The dataset is …
The Glass Type dataset from UCI (University of California, Irvine) is a collection of 214 observations and 9 features that are used to predict the type of glass used in the manufacture of a certain object. Each observation represents a sample of glass, and each feature represents a measure of the glass’s properties. The …
Sonar, short for Sound Navigation and Ranging, is a technology used to detect and locate objects underwater. It is commonly used in navigation, search and rescue operations, and military applications. In recent years, machine learning techniques have been used to predict the sonar signals and improve the accuracy of detection. In this article, we …
The Ionosphere is a layer of the Earth’s upper atmosphere that is located between 50 and 600 kilometers above the Earth’s surface. It is made up of a mixture of gases and charged particles that can affect radio wave transmission. In recent years, machine learning techniques have been used to predict the ionosphere and …
Diabetes is a chronic disease that affects millions of people worldwide. Early detection and diagnosis of diabetes are crucial for effective treatment and management of the disease. In recent years, machine learning techniques have been used to predict diabetes and improve the accuracy of diagnosis. In this article, we will go over the steps …
Breast cancer is a serious and life-threatening disease that affects millions of women worldwide. Early detection and diagnosis are crucial for effective treatment and survival rates. In recent years, machine learning techniques have been used to predict breast cancer and improve the accuracy of diagnosis. In this article, we will go over the steps …