Packt Mastering Unsupervised Learning with Python | F5B6B61A87DFAD44ACEA412A86E36247C1F3216E

Packt Mastering Unsupervised Learning with Python

Name	Packt Mastering Unsupervised Learning with Python	DOWNLOAD Copy Link
Total Size	874.5 MB
Total Files	24
Hash	F5B6B61A87DFAD44ACEA412A86E36247C1F3216E

/03.Manifold and Deep Learning for High-Dimensional Data/
0304.Manifold Learning in Practice – Part 2.mp4	82.3 MB
0301.Manifold Learning Introduction – Part 1.mp4	27.3 MB
0302.Manifold Learning Introduction – Part 2.mp4	23.6 MB
0303.Manifold Learning in Practice – Part 1.mp4	27.7 MB
0305.Visualize High-Dimensional Data t-SNE and UMAP – Part 1.mp4	29.8 MB
0306.Visualize High-Dimensional Data t-SNE and UMAP – Part 2.mp4	33.9 MB
0307.Deep Learning and Visualization Autoencoders and t-SNE – Part 1.mp4	32.4 MB
0308.Deep Learning and Visualization Autoencoders and t-SNE – Part 2.mp4	43.2 MB
/01.Advanced Clustering Methods Selecting the Best Algorithm/
0102.Alternatives to K-Means Clustering – Part 1.mp4	35.9 MB
0103.Alternatives to K-Means Clustering – Part 2.mp4	30.4 MB
0104.Agglomerative Clustering Finding Natural Hierarchies – Part 1.mp4	51.6 MB
0105.Agglomerative Clustering Finding Natural Hierarchies –Part 2.mp4	46.3 MB
0106.Density-Based Clustering DBSCAN and HDBSCAN – Part 1.mp4	39.5 MB
0107.Density-Based Clustering DBSCAN and HDBSCAN – Part 2.mp4	22.6 MB
0108.Gaussian Mixture Models.mp4	44.0 MB
0101.The Course Overview.mp4	0.3 KB
/02.Topic Modeling Semantic Content Recommendations/
0201.Topic Modeling Overview – Part 1.mp4	36.1 MB
0202.Topic Modeling Overview – Part 2.mp4	45.5 MB
0203.Topic Modeling Preparing Your Data – Part 1.mp4	27.9 MB
0204.Topic Modeling Preparing Your Data – Part 2.mp4	28.3 MB
0205.Topic Modeling Running the Models – Part 1.mp4	29.7 MB
0206.Topic Modeling Running the Models – Part 2.mp4	33.8 MB
0207.Topic Modeling Evaluating and Visualizing Results.mp4	31.5 MB
/Exercise Files/
exercise_files.zip	71.3 MB
Total files 24