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Unlocking the Secrets of Data Unsupervised Learning with R
Published 2/2024 Created by Rich Huebner MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 23 Lectures ( 2h 13m ) | Size: 1.88 GB Clustering, Association Rule Mining, and Dimensionality Reduction Techniques What you'll learn: Apply clustering algorithms to college scorecard data Apply association rule mining to a set of products that customers have subscribed to Apply dimensionality reduction techniques in preparation for clustering analyses Use the R programming language to accomplish unsupervised machine learning tasks Requirements: Some familiarity with R is needed. Learners should have R and R Studio installed already. I will make sure there is at least one lecture describing which packages you will need for this course. Description: Who this course is for: