| 001 Course Structure & Outline.mp4 | 28.5 MB | ||
| 001 Course Structure & Outline_en.srt | 3 KB | ||
| 001 Introduction.mp4 | 2.6 MB | ||
| 001 Introduction_en.srt | 716.8 B | ||
| 001 Series Conclusion.mp4 | 3.4 MB | ||
| 001 Series Conclusion_en.srt | 921.6 B | ||
| 001 Supervised vs. Unsupervised Learning.mp4 | 10.5 MB | ||
| 001 Supervised vs. Unsupervised Learning_en.srt | 2.8 KB | ||
| 002 Association Mining Basics.mp4 | 7.7 MB | ||
| 002 Association Mining Basics_en.srt | 2 KB | ||
| 002 BONUS LECTURE.html | 8 KB | ||
| 002 Clustering Basics.mp4 | 10.4 MB | ||
| 002 Clustering Basics_en.srt | 2.8 KB | ||
| 002 Common Unsupervised Techniques.mp4 | 7.2 MB | ||
| 002 Common Unsupervised Techniques_en.srt | 2.1 KB | ||
| 002 Dimensionality Reduction Basics.mp4 | 14.4 MB | ||
| 002 Dimensionality Reduction Basics_en.srt | 3.2 KB | ||
| 002 Outlier Detection Basics.mp4 | 10.1 MB | ||
| 002 Outlier Detection Basics_en.srt | 2.8 KB | ||
| 002 READ ME Important Notes for New Students.html | 4.8 KB | ||
| 003 About This Series.mp4 | 2.2 MB | ||
| 003 About This Series_en.srt | 409.6 B | ||
| 003 Cross-Sectional Outliers.mp4 | 11.2 MB | ||
| 003 Cross-Sectional Outliers_en.srt | 2.8 KB | ||
| 003 Intro to K-Means.mp4 | 15.2 MB | ||
| 003 Intro to K-Means_en.srt | 5 KB | ||
| 003 Principle Component Analysis.mp4 | 7.8 MB | ||
| 003 Principle Component Analysis_en.srt | 1.9 KB | ||
| 003 The Apriori Algorithm.mp4 | 9 MB | ||
| 003 The Apriori Algorithm_en.srt | 2 KB | ||
| 003 Unsupervised ML Workflow.mp4 | 9.1 MB | ||
| 003 Unsupervised ML Workflow_en.srt | 2.5 KB | ||
| 004 Basket Analysis Examples.mp4 | 23.5 MB | ||
| 004 Basket Analysis Examples_en.srt | 6.9 KB | ||
| 004 Cross-Sectional Outlier Example.mp4 | 21.3 MB | ||
| 004 Cross-Sectional Outlier Example_en.srt | 4.3 KB | ||
| 004 DOWNLOAD Course Resources.html | 819.2 B | ||
| 004 Feature Engineering.mp4 | 6.7 MB | ||
| 004 Feature Engineering_en.srt | 1.9 KB | ||
| 004 Machine-Learning-Part-4-Unsupervised.pdf | 17.1 MB | ||
| 004 Maven-ML-Demos-Part-4.xlsx | 3.5 MB | ||
| 004 PCA Example.mp4 | 14.2 MB | ||
| 004 PCA Example_en.srt | 3.3 KB | ||
| 004 WSS & Elbow Plots.mp4 | 10.7 MB | ||
| 004 WSS & Elbow Plots_en.srt | 3.3 KB | ||
| 005 CASE STUDY Cross-Sectional Outlier.mp4 | 54.8 MB | ||
| 005 CASE STUDY Cross-Sectional Outlier_en.srt | 8.5 KB | ||
| 005 Interpreting Components.mp4 | 15.1 MB | ||
| 005 Interpreting Components_en.srt | 3.5 KB | ||
| 005 K-Means FAQs.mp4 | 6.6 MB | ||
| 005 K-Means FAQs_en.srt | 1.9 KB | ||
| 005 KEY TAKEAWAYS Intro to Unsupervised ML.mp4 | 6.1 MB | ||
| 005 KEY TAKEAWAYS Intro to Unsupervised ML_en.srt | 1.9 KB | ||
| 005 Minimum Support Thresholds.mp4 | 7 MB | ||
| 005 Minimum Support Thresholds_en.srt | 1.6 KB | ||
| 005 Setting Expectations.mp4 | 11.6 MB | ||
| 005 Setting Expectations_en.srt | 3 KB | ||
| 006 CASE STUDY K-Means.mp4 | 88.2 MB | ||
| 006 CASE STUDY K-Means_en.srt | 17 KB | ||
| 006 Infrequent Itemsets.mp4 | 18.8 MB | ||
| 006 Infrequent Itemsets_en.srt | 4.7 KB | ||
| 006 Scree Plots.mp4 | 13.9 MB | ||
| 006 Scree Plots_en.srt | 3.4 KB | ||
| 006 Time-Series Outliers.mp4 | 8.5 MB | ||
| 006 Time-Series Outliers_en.srt | 2.3 KB | ||
| 007 Advanced Techniques.mp4 | 5 MB | ||
| 007 Advanced Techniques_en.srt | 1.3 KB | ||
| 007 Intro to Hierarchical Clustering.mp4 | 12.7 MB | ||
| 007 Intro to Hierarchical Clustering_en.srt | 4.9 KB | ||
| 007 Multiple Item Sets.mp4 | 7.8 MB | ||
| 007 Multiple Item Sets_en.srt | 2.5 KB | ||
| 007 Time-Series Outlier Example.mp4 | 14.7 MB | ||
| 007 Time-Series Outlier Example_en.srt | 3.3 KB | ||
| 008 Anatomy of a Dendrogram.mp4 | 8.6 MB | ||
| 008 Anatomy of a Dendrogram_en.srt | 2.8 KB | ||
| 008 CASE STUDY Apriori.mp4 | 52.5 MB | ||
| 008 CASE STUDY Apriori_en.srt | 10.8 KB | ||
| 008 KEY TAKEAWAYS Dimensionality Reduction.mp4 | 6.2 MB | ||
| 008 KEY TAKEAWAYS Dimensionality Reduction_en.srt | 1.5 KB | ||
| 008 KEY TAKEAWAYS Outlier Detection.mp4 | 6 MB | ||
| 008 KEY TAKEAWAYS Outlier Detection_en.srt | 1.4 KB | ||
| 009 Hierarchical Clustering FAQs.mp4 | 9.4 MB | ||
| 009 Hierarchical Clustering FAQs_en.srt | 2.7 KB | ||
| 009 Markov Chains.mp4 | 24.8 MB | ||
| 009 Markov Chains_en.srt | 7.1 KB | ||
| 010 CASE STUDY Markov Chains.mp4 | 28.6 MB | ||
| 010 CASE STUDY Markov Chains_en.srt | 6.2 KB | ||
| 010 KEY TAKEAWAYS Clustering & Segmentation.mp4 | 7.3 MB | ||
| 010 KEY TAKEAWAYS Clustering & Segmentation_en.srt | 2 KB | ||
| 011 KEY TAKEAWAYS Association Mining.mp4 | 8.5 MB | ||
| 011 KEY TAKEAWAYS Association Mining_en.srt | 2 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 99 total files | |||
Machine Learning for BI, PART 4: Unsupervised Learning
https://TutGee.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 49 lectures (2h) | Size: 528.4 MB
Learn powerful Unsupervised Machine Learning techniques like clustering, association mining, outlier detection and more!
What you'll learn
Build foundational Machine Learning & data science skills WITHOUT writing complex code
Use intuitive, user-friendly tools like Microsoft Excel to introduce & demystify machine learning tools & techniques
Explore powerful techniques for clustering, association mining, outlier detection, and dimensionality reduction
Learn how ML models like K-Means, Apriori, Markov and Principal Component Analysis actually work
Enjoy unique, hands-on s to see how Unsupervised ML can be applied to real-world Business Intelligence projects
Requirements
This is a beginner-friendly course (no prior knowledge or math/stats background required)
We'll use Microsoft Excel (Office 365) for some course s, but participation is optional
This is PART 4 of our Machine Learning for BI series (we recommend taking Parts 1, 2 & 3 first)
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 3.4 GB | freecoursewb | 2 days | 2 | 22 | |
| 1.2 GB | freecoursewb | 2 weeks | 10 | 10 | |
| 1.9 GB | freecoursewb | 1 month | 5 | 0 | |
| 2.6 GB | freecoursewb | 1 month | 6 | 3 | |
| 2.5 GB | freecoursewb | 1 month | 1 | 9 |
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