Lynda - Machine Learning and AI Foundations - Clustering and Association
File List
| File | Size |
|---|---|
| Exercise Files/Ex_Files_Machine_Learning_AI_Clustering.zip | 24.98 MB |
| 1.Introduction/01.Welcome.mp4 | 6.05 MB |
| 1.Introduction/02.What you should know.en.srt | 3.87 KB |
| 1.Introduction/02.What you should know.mp4 | 3.28 MB |
| 1.Introduction/03.Using the exercise files.en.srt | 2.18 KB |
| 1.Introduction/03.Using the exercise files.mp4 | 3.99 MB |
| 1.Introduction/04.What is unsupervised machine learning.en.srt | 9.49 KB |
| 1.Introduction/04.What is unsupervised machine learning.mp4 | 9.31 MB |
| 2.1. What Is Cluster Analysis/05.Looking at the data with a 2D scatter plot.en.srt | 9.38 KB |
| 2.1. What Is Cluster Analysis/05.Looking at the data with a 2D scatter plot.mp4 | 18.68 MB |
| 2.1. What Is Cluster Analysis/06.Understanding hierarchical cluster analysis.en.srt | 8.37 KB |
| 2.1. What Is Cluster Analysis/06.Understanding hierarchical cluster analysis.mp4 | 18.51 MB |
| 2.1. What Is Cluster Analysis/07.Running hierarchical cluster analysis.en.srt | 6.54 KB |
| 2.1. What Is Cluster Analysis/07.Running hierarchical cluster analysis.mp4 | 10.68 MB |
| 2.1. What Is Cluster Analysis/08.Interpreting a dendrogram.en.srt | 6.08 KB |
| 2.1. What Is Cluster Analysis/08.Interpreting a dendrogram.mp4 | 10.42 MB |
| 2.1. What Is Cluster Analysis/09.Methods for measuring distance.en.srt | 9.31 KB |
| 2.1. What Is Cluster Analysis/09.Methods for measuring distance.mp4 | 15.95 MB |
| 2.1. What Is Cluster Analysis/10.What is k-nearest neighbors.en.srt | 8.48 KB |
| 2.1. What Is Cluster Analysis/10.What is k-nearest neighbors.mp4 | 12.14 MB |
| 3.2. K-Means/11.How does k-means work.en.srt | 3.18 KB |
| 3.2. K-Means/11.How does k-means work.mp4 | 6.15 MB |
| 3.2. K-Means/12.Which variables should be used with k-means.en.srt | 5.1 KB |
| 3.2. K-Means/12.Which variables should be used with k-means.mp4 | 8.56 MB |
| 3.2. K-Means/13.Interpreting a box plot.en.srt | 11.07 KB |
| 3.2. K-Means/13.Interpreting a box plot.mp4 | 8.63 MB |
| 3.2. K-Means/14.Running a k-means cluster analysis.en.srt | 5.32 KB |
| 3.2. K-Means/14.Running a k-means cluster analysis.mp4 | 10.37 MB |
| 3.2. K-Means/15.Interpreting cluster analysis output.en.srt | 9.4 KB |
| 3.2. K-Means/15.Interpreting cluster analysis output.mp4 | 14.38 MB |
| 3.2. K-Means/16.What does silhouette mean.en.srt | 3.62 KB |
| 3.2. K-Means/16.What does silhouette mean.mp4 | 3.22 MB |
| 3.2. K-Means/17.Which cases should be used with k-means.en.srt | 7.63 KB |
| 3.2. K-Means/17.Which cases should be used with k-means.mp4 | 11.14 MB |
| 3.2. K-Means/18.Finding optimum value for k - k = 3.en.srt | 8.19 KB |
| 3.2. K-Means/18.Finding optimum value for k - k = 3.mp4 | 12.57 MB |
| 3.2. K-Means/19.Finding optimum value for k - k = 4.en.srt | 9.57 KB |
| 3.2. K-Means/19.Finding optimum value for k - k = 4.mp4 | 14.18 MB |
| 3.2. K-Means/20.Finding optimum value for k - k = 5.en.srt | 7.78 KB |
| 3.2. K-Means/20.Finding optimum value for k - k = 5.mp4 | 12.17 MB |
| 3.2. K-Means/21.What the best solution.en.srt | 5.55 KB |
| 3.2. K-Means/21.What the best solution.mp4 | 9.91 MB |
| 4.3. Visualizing and Reporting Cluster Solutions/22.Summarizing cluster means in a table.en.srt | 8.17 KB |
| 4.3. Visualizing and Reporting Cluster Solutions/22.Summarizing cluster means in a table.mp4 | 14.24 MB |
| 4.3. Visualizing and Reporting Cluster Solutions/23.Traffic Light feature in Excel.en.srt | 5.62 KB |
| 4.3. Visualizing and Reporting Cluster Solutions/23.Traffic Light feature in Excel.mp4 | 9.21 MB |
| 4.3. Visualizing and Reporting Cluster Solutions/24.Line graphs.en.srt | 11.91 KB |
| 4.3. Visualizing and Reporting Cluster Solutions/24.Line graphs.mp4 | 19.45 MB |
| 5.4. Cluster Methods for Categorical Variables/25.Relating clusters to categories statistically.en.srt | 10.78 KB |
| 5.4. Cluster Methods for Categorical Variables/25.Relating clusters to categories statistically.mp4 | 17.71 MB |
| 5.4. Cluster Methods for Categorical Variables/26.Relating clusters to categories visually.en.srt | 4.91 KB |
| 5.4. Cluster Methods for Categorical Variables/26.Relating clusters to categories visually.mp4 | 6.59 MB |
| 5.4. Cluster Methods for Categorical Variables/27.Running a multiple correspondence analysis.en.srt | 8.53 KB |
| 5.4. Cluster Methods for Categorical Variables/27.Running a multiple correspondence analysis.mp4 | 16.99 MB |
| 5.4. Cluster Methods for Categorical Variables/28.Interpreting a perceptual map.en.srt | 5.09 KB |
| 5.4. Cluster Methods for Categorical Variables/28.Interpreting a perceptual map.mp4 | 11.07 MB |
| 5.4. Cluster Methods for Categorical Variables/29.Using cluster analysis and decision trees together.en.srt | 14.85 KB |
| 5.4. Cluster Methods for Categorical Variables/29.Using cluster analysis and decision trees together.mp4 | 14.2 MB |
| 5.4. Cluster Methods for Categorical Variables/30.A BIRCH_two-step example.en.srt | 7.54 KB |
| 5.4. Cluster Methods for Categorical Variables/30.A BIRCH_two-step example.mp4 | 13.09 MB |
| 5.4. Cluster Methods for Categorical Variables/31.A self organizing map example.en.srt | 11.05 KB |
| 5.4. Cluster Methods for Categorical Variables/31.A self organizing map example.mp4 | 20.3 MB |
| 6.5. Anomaly Detection/32.The k = 1 trick.en.srt | 11.08 KB |
| 6.5. Anomaly Detection/32.The k = 1 trick.mp4 | 20.7 MB |
| 6.5. Anomaly Detection/33.Anomaly detection algorithms.en.srt | 6.87 KB |
| 6.5. Anomaly Detection/33.Anomaly detection algorithms.mp4 | 14.45 MB |
| 6.5. Anomaly Detection/34.Using SOM for anomaly detection.en.srt | 9.88 KB |
| 6.5. Anomaly Detection/34.Using SOM for anomaly detection.mp4 | 21.72 MB |
| 7.6. Association Rules and Sequence Detection/35.Intro to association rules and sequence analysis.en.srt | 7.86 KB |
| 7.6. Association Rules and Sequence Detection/35.Intro to association rules and sequence analysis.mp4 | 7.22 MB |
| 7.6. Association Rules and Sequence Detection/36.Running association rules.en.srt | 9.33 KB |
| 7.6. Association Rules and Sequence Detection/36.Running association rules.mp4 | 18.57 MB |
| 7.6. Association Rules and Sequence Detection/37.Some association rules terminology.en.srt | 5.14 KB |
| 7.6. Association Rules and Sequence Detection/37.Some association rules terminology.mp4 | 4.48 MB |
| 7.6. Association Rules and Sequence Detection/38.Interpreting association rules.en.srt | 11.25 KB |
| 7.6. Association Rules and Sequence Detection/38.Interpreting association rules.mp4 | 18.15 MB |
| 7.6. Association Rules and Sequence Detection/39.Putting association rules to use.en.srt | 7.77 KB |
| 7.6. Association Rules and Sequence Detection/39.Putting association rules to use.mp4 | 15.63 MB |
| 7.6. Association Rules and Sequence Detection/40.Comparing clustering and association rules.en.srt | 4.51 KB |
| 7.6. Association Rules and Sequence Detection/40.Comparing clustering and association rules.mp4 | 5.81 MB |
| 7.6. Association Rules and Sequence Detection/41.Sequence detection.en.srt | 8.84 KB |
| 7.6. Association Rules and Sequence Detection/41.Sequence detection.mp4 | 14.44 MB |
| 8.Conclusion/42.Next steps.en.srt | 2.72 KB |
| 8.Conclusion/42.Next steps.mp4 | 2.42 MB |
| 1.Introduction/01.Welcome.en.srt | 1.32 KB |
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