This article lists down 10 popular machine learning algorithms and related R commands (& package information) that could be used to create respective models. The objective is to represent a quick reference page for beginners/intermediate level R programmers who working on machine learning related problems. Please feel free to comment/suggest if I missed to mention one or more important points. Following are the different ML algorithms included in this article: 1) Linear; 2) Logistic Regression; 3) K-Means Clustering; 4) K-Nearest Neighbors (KNN) Classification; 5) Naive Bayes Classification; 6) Decison Trees; 7) Support Vector Machine (SVM); 8) Artifical Neural Network (ANN); 9) Apriori; and 10) AdaBoost. This will be added Artificial Intelligence Resources Subject Tracer™.
posted by Marcus Zillman |
1:38 AM
