Classification in R – random forest in R Classification is a way of sorting items into different categories. It’s a common task in machine learning and data analysis. One popular method for classification is called “random forest,” which is a type of decision tree algorithm. A decision tree is a flowchart-like structure that breaks down …
Classification in R – partial least squares discriminant in R Classification is a type of supervised machine learning that is used to predict the class or category of a new observation based on the values of its predictors. One popular method of classification is using partial least squares discriminant analysis (PLS-DA). PLS-DA is a technique …
Classification in R – naive bayes in R Classification is a type of supervised machine learning that is used to predict the class or category of a new observation based on the values of its predictors. One popular method of classification is using naive bayes algorithm. Naive Bayes is a probabilistic algorithm that is based …
Classification in R – logistic regression for multiclass classification in R Classification is a type of supervised machine learning that is used to predict the class or category of a new observation based on the values of its predictors. One popular method of classification is using logistic regression for multiclass classification. Multiclass classification is a …
Classification in R – logistic regression for binary class classification in R Classification is a type of supervised machine learning that is used to predict the class or category of a new observation based on the values of its predictors. One popular method of classification is using logistic regression for binary class classification. Logistic regression …
Classification in R – linear discriminant analysis in R Classification is a type of supervised machine learning that is used to predict the class or category of a new observation based on the values of its predictors. One popular method of classification is using linear discriminant analysis (LDA). LDA is a technique for finding a …
Classification in R – KNN in R Classification is a type of supervised machine learning that is used to predict the class or category of a new observation based on the values of its predictors. One popular method of classification is using k-nearest neighbors (KNN) algorithm. KNN is a simple and intuitive algorithm that works …
Classification in R – gradient boosted machine in R Classification is a type of supervised machine learning that is used to predict the class or category of a new observation based on the values of its predictors. One popular method of classification is using gradient boosted machine (GBM). GBM is an ensemble method that combines …
Classification in R – classification and regression tree in R In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Classification in R – classification and regression tree in R. Classification in R – classification …
Support Vector Machine in R Support Vector Machine (SVM) is a type of supervised machine learning algorithm that can be used for both classification and regression tasks. It works by finding the best boundary, called a hyperplane, that separates different classes or predicts the target variable with the highest accuracy. In R, there are several …