Unsupervised Machine Learning Projects with R

Colleagues, the Unsupervised Machine Learning Projects with R will help you build your knowledge and skills by guiding you in building machine learning projects with a practical approach and using the latest technologies provided by the R language such as Rmarkdown, R-shiny, and more. Also focus on two machine learning paradigms—K-Means Clustering and Principal Component Analysis—to grasp how they work and apply them to business Customer Segmentation (Market Segmentation Analysis). You will be equipped to deploy Machine Learning algorithms in R, explore K-means clustering techniques, prepare data for imputation and model diagnostics, train, evaluate, and improve your models, visualize the Principal Component Analysis model in 2D, perform pattern mining for transactional data, understand mocking  and how to use mocking frameworks and select design patterns. Skill-based training modules include:  1) Machine Learning Model in R, 2)  Exploring K-Means Clustering, 3) Principal Component Analysis (PCA), and 4) Pattern Mining.

Enroll today (individuals & teams welcome): https://tinyurl.com/2hxf3vzx 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy