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 …
Beginner’s Project on Regression in Python Machine learning regression is a type of machine learning where the goal is to predict a continuous value, such as a price or an age, based on a set of input features. It is used to model the relationship between a dependent variable and one or more independent variables. …
Beginner’s Project on Binary Classification in Python – Sonar Dataset Binary Classification is a type of machine learning problem where the goal is to classify instances into one of two classes. The Sonar Dataset is a popular dataset for binary classification problems, which is used to distinguish between metal cylinders and rocks from a sonar …
Beginner’s Project on Multi-Class Classification in Python Multi-class classification is a type of machine learning problem where the goal is to classify instances into one of multiple classes. This is different from binary classification, where the goal is to classify instances into one of two classes. There are several algorithms that can be used for …