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 – feed forward neural network 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 feed-forward neural networks (FFNNs). A feed-forward neural network is a …
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 …
Classification in R – C5.0 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 – C5.0 in R. Classification in R – C5.0 in R Personal Career & Learning …