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Packt Mastering Unsupervised Learning with Python

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Title: Packt Mastering Unsupervised Learning with PythonGroup: NOGRPSource: Packt
Info Hash
F5B6B61A87DFAD44ACEA412A86E36247C1F3216E
Source
Unverified
Total Size
834 MB
Total Files
24
Seeders
3
Leechers
0
Health
3.00
Score
6
Type
Bookware

File List

FileSize
03.Manifold and Deep Learning for High-Dimensional Data/0304.Manifold Learning in Practice – Part 2.mp478.52 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0102.Alternatives to K-Means Clustering – Part 1.mp434.23 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0103.Alternatives to K-Means Clustering – Part 2.mp429.02 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0104.Agglomerative Clustering Finding Natural Hierarchies – Part 1.mp449.17 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0105.Agglomerative Clustering Finding Natural Hierarchies –Part 2.mp444.16 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0106.Density-Based Clustering DBSCAN and HDBSCAN – Part 1.mp437.69 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0107.Density-Based Clustering DBSCAN and HDBSCAN – Part 2.mp421.53 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0108.Gaussian Mixture Models.mp441.97 MB
02.Topic Modeling Semantic Content Recommendations/0201.Topic Modeling Overview – Part 1.mp434.43 MB
02.Topic Modeling Semantic Content Recommendations/0202.Topic Modeling Overview – Part 2.mp443.39 MB
02.Topic Modeling Semantic Content Recommendations/0203.Topic Modeling Preparing Your Data – Part 1.mp426.63 MB
02.Topic Modeling Semantic Content Recommendations/0204.Topic Modeling Preparing Your Data – Part 2.mp426.97 MB
02.Topic Modeling Semantic Content Recommendations/0205.Topic Modeling Running the Models – Part 1.mp428.3 MB
02.Topic Modeling Semantic Content Recommendations/0206.Topic Modeling Running the Models – Part 2.mp432.25 MB
02.Topic Modeling Semantic Content Recommendations/0207.Topic Modeling Evaluating and Visualizing Results.mp430.03 MB
03.Manifold and Deep Learning for High-Dimensional Data/0301.Manifold Learning Introduction – Part 1.mp426 MB
03.Manifold and Deep Learning for High-Dimensional Data/0302.Manifold Learning Introduction – Part 2.mp422.49 MB
03.Manifold and Deep Learning for High-Dimensional Data/0303.Manifold Learning in Practice – Part 1.mp426.44 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0101.The Course Overview.mp4284 B
03.Manifold and Deep Learning for High-Dimensional Data/0305.Visualize High-Dimensional Data t-SNE and UMAP – Part 1.mp428.37 MB
03.Manifold and Deep Learning for High-Dimensional Data/0306.Visualize High-Dimensional Data t-SNE and UMAP – Part 2.mp432.36 MB
03.Manifold and Deep Learning for High-Dimensional Data/0307.Deep Learning and Visualization Autoencoders and t-SNE – Part 1.mp430.88 MB
03.Manifold and Deep Learning for High-Dimensional Data/0308.Deep Learning and Visualization Autoencoders and t-SNE – Part 2.mp441.18 MB
Exercise Files/exercise_files.zip67.98 MB

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