R Machine Learning Training

SkillsFuture Course - R Machine Learning Training 

This R machine learning training course will teach you how how to use R to apply powerful machine learning methods and gain an insight into real-world applications. Topics include:

• R machine learning
• Supervised and Unsupervised Learning methods
• Classifications
• Regression
• Clustering
• Neural Networks

Module 1: Introduction to Machine Learning

• What is Machine Learning (ML)
• R packages for ML
• Installing R ML Packages

Module 2: Datasets

• Iris Dataset
• Mtcars Dataset
• Boston Housing Price Dataset
• Features 
• Splitting Datasets for Training/Testing

Module 3: Supervised Learning

• What is Supervised Learning
• Performance Metric
• Decision Tree Classifier
• Random Forest Classifier
• Gaussian Navie Bayes (GNB) Classifier
• Support Vector Machine (SVM) Classifier
• Logistic Regression Classifier
• K-Nearest Neighbors (KNN) Classifier
• Linear Regression: Single and Multivariate, 
• Variable Selection 
• KNN Regression

Module 4: Unsupervised Learning

• What is Unsupervised Learning
• K-Means Clustering 
• Hierarchical Clustering
• Dimensionality Reduction

Module 5: Intro to Neural Network (Optional)

• What is Neural Network
• Multi Layer Perceptron