Packt Mastering Unsupervised Learning with Python
File List
- 03.Manifold and Deep Learning for High-Dimensional Data/0304.Manifold Learning in Practice – Part 2.mp4 78.5 MB
- Exercise Files/exercise_files.zip 68.0 MB
- 01.Advanced Clustering Methods Selecting the Best Algorithm/0104.Agglomerative Clustering Finding Natural Hierarchies – Part 1.mp4 49.2 MB
- 01.Advanced Clustering Methods Selecting the Best Algorithm/0105.Agglomerative Clustering Finding Natural Hierarchies –Part 2.mp4 44.2 MB
- 02.Topic Modeling Semantic Content Recommendations/0202.Topic Modeling Overview – Part 2.mp4 43.4 MB
- 01.Advanced Clustering Methods Selecting the Best Algorithm/0108.Gaussian Mixture Models.mp4 42.0 MB
- 03.Manifold and Deep Learning for High-Dimensional Data/0308.Deep Learning and Visualization Autoencoders and t-SNE – Part 2.mp4 41.2 MB
- 01.Advanced Clustering Methods Selecting the Best Algorithm/0106.Density-Based Clustering DBSCAN and HDBSCAN – Part 1.mp4 37.7 MB
- 02.Topic Modeling Semantic Content Recommendations/0201.Topic Modeling Overview – Part 1.mp4 34.4 MB
- 01.Advanced Clustering Methods Selecting the Best Algorithm/0102.Alternatives to K-Means Clustering – Part 1.mp4 34.2 MB
- 03.Manifold and Deep Learning for High-Dimensional Data/0306.Visualize High-Dimensional Data t-SNE and UMAP – Part 2.mp4 32.4 MB
- 02.Topic Modeling Semantic Content Recommendations/0206.Topic Modeling Running the Models – Part 2.mp4 32.3 MB
- 03.Manifold and Deep Learning for High-Dimensional Data/0307.Deep Learning and Visualization Autoencoders and t-SNE – Part 1.mp4 30.9 MB
- 02.Topic Modeling Semantic Content Recommendations/0207.Topic Modeling Evaluating and Visualizing Results.mp4 30.0 MB
- 01.Advanced Clustering Methods Selecting the Best Algorithm/0103.Alternatives to K-Means Clustering – Part 2.mp4 29.0 MB
- 03.Manifold and Deep Learning for High-Dimensional Data/0305.Visualize High-Dimensional Data t-SNE and UMAP – Part 1.mp4 28.4 MB
- 02.Topic Modeling Semantic Content Recommendations/0205.Topic Modeling Running the Models – Part 1.mp4 28.3 MB
- 02.Topic Modeling Semantic Content Recommendations/0204.Topic Modeling Preparing Your Data – Part 2.mp4 27.0 MB
- 02.Topic Modeling Semantic Content Recommendations/0203.Topic Modeling Preparing Your Data – Part 1.mp4 26.6 MB
- 03.Manifold and Deep Learning for High-Dimensional Data/0303.Manifold Learning in Practice – Part 1.mp4 26.4 MB
- 03.Manifold and Deep Learning for High-Dimensional Data/0301.Manifold Learning Introduction – Part 1.mp4 26.0 MB
- 03.Manifold and Deep Learning for High-Dimensional Data/0302.Manifold Learning Introduction – Part 2.mp4 22.5 MB
- 01.Advanced Clustering Methods Selecting the Best Algorithm/0107.Density-Based Clustering DBSCAN and HDBSCAN – Part 2.mp4 21.5 MB
- 01.Advanced Clustering Methods Selecting the Best Algorithm/0101.The Course Overview.mp4 284 bytes
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