Udemy - Unlocking the Secrets of Data - Unsupervised Learning with R

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[ DevCourseWeb.com ] Udemy - Unlocking the Secrets of Data - Unsupervised Learning with R
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction.mp4 (37.5 MB)
    • 2. Instructor Welcome.mp4 (64.8 MB)
    • 3. Prerequisites.html (2.6 KB)
    • 3.1 CRAN Task Views -- a listing R packages organized into categories or tasks.html (0.1 KB)
    • 3.2 Installing Packages in R.html (0.1 KB)
    • 3.3 R Language.html (0.1 KB)
    • 3.4 R Studio IDE.html (0.1 KB)
    • 4. Why use R and R Studio for this.html (3.0 KB)
    • 5. Getting Data Sets.mp4 (50.8 MB)
    • 5.1 Data from the FiveThirtyEight website.html (0.1 KB)
    • 5.2 Data.Gov.html (0.1 KB)
    • 5.3 Human Resources Data Set.html (0.1 KB)
    • 5.4 Kaggle.html (0.1 KB)
    2. Unsupervised Learning Clustering
    • 1. Introduction to Clustering.mp4 (117.8 MB)
    • 2. Example of using College Scorecard Data - from Industry.mp4 (94.3 MB)
    • 3. Getting and Loading the College Scorecard Data.mp4 (166.2 MB)
    • 4. Scaling The Data - Required for Clustering Analyses.mp4 (161.8 MB)
    • 5. Using Hierarchical Clustering in R.mp4 (276.4 MB)
    • 6. Running a kMeans Clustering Analysis in R.mp4 (111.3 MB)
    • 7. Cluster Validity.mp4 (129.8 MB)
    • 8. Creating Your Own Clustering Analysis.html (0.2 KB)
    3. Unsupervised Learning Dimensionality Reduction
    • 1. Introduction to Dimensionality Reduction.mp4 (78.5 MB)
    • 2. Feature Removal of Highly Correlated Features.mp4 (70.4 MB)
    • 3. PCA in R - Part 1.mp4 (99.0 MB)
    • 4. PCA in R - Part 2.mp4 (77.1 MB)
    • 5. Dimensionality Quiz.html (0.2 KB)
    • 6. Apply PCA to a New Dataset.html (0.2 KB)
    4. Unsupervised Learning Association Rule Mining (aka Market Basket Analysis)
    • 1. Introduction to Frequent Itemset Mining and Association Rule Mining - Part 1.mp4 (44.2 MB)
    • 2. Introduction to Frequent Itemset Mining and Association Rule Mining - Part 2.mp4 (50.8 MB)
    • 3. Measuring Results of Association Rules.mp4 (52.3 MB)
    • 4. Cleaning and Preparing Data for Frequent Itemset Mining and Association Rules.mp4 (85.1 MB)
    • 5. Frequent Itemsets.mp4 (70.8 MB)
    • 6. Association Rules.mp4 (45.9 MB)
    • 7. Sorting Itemsets and Rules.mp4 (48.0 MB)
    • 8. Frequent Itemset Mining and Association Rules.html (0.2 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Unlocking the Secrets of Data: Unsupervised Learning with R

https://DevCourseWeb.com

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.



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Udemy - Unlocking the Secrets of Data - Unsupervised Learning with R

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Download torrent
1.9 GB
seeders:9
leechers:10
Udemy - Unlocking the Secrets of Data - Unsupervised Learning with R

Torrent hash: A8313BDE26A1FAC35DFEA87A553482372F20E504