Unsupervised Learning with Python StepbyStep Tutorial | 73F380A9F57814B756A1084A30AD90D829219F6B

Unsupervised Learning with Python StepbyStep Tutorial

Name	Unsupervised Learning with Python StepbyStep Tutorial	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	5.8 GB
Total Files	135
Last Seen	2025-04-10 01:10
Hash	73F380A9F57814B756A1084A30AD90D829219F6B

/.../2 - Mastering Unsupervised Learning with Python/
40 - Manifold Learning in Practice Part 2.mp4	226.5 MB
25 - Agglomerative Clustering Finding Natural Hierarchies Part 1 English.vtt	13.7 KB
30 - Topic Modeling Overview Part 1 English.vtt	12.9 KB
29 - Gaussian Mixture Models English.vtt	12.9 KB
40 - Manifold Learning in Practice Part 2 English.vtt	12.4 KB
44 - Deep Learning and Visualization Autoencoders and tSNE Part 2 English.vtt	12.3 KB
31 - Topic Modeling Overview Part 2 English.vtt	11.7 KB
23 - Alternatives to KMeans Clustering Part 1 English.vtt	10.9 KB
43 - Deep Learning and Visualization Autoencoders and tSNE Part 1 English.vtt	10.2 KB
41 - Visualize HighDimensional Data tSNE and UMAP Part 1 English.vtt	9.4 KB
42 - Visualize HighDimensional Data tSNE and UMAP Part 2 English.vtt	8.8 KB
35 - Topic Modeling Running the Models Part 2 English.vtt	8.7 KB
37 - Manifold Learning Introduction Part 1 English.vtt	8.5 KB
34 - Topic Modeling Running the Models Part 1 English.vtt	8.5 KB
36 - Topic Modeling Evaluating and Visualizing Results English.vtt	8.3 KB
32 - Topic Modeling Preparing Your Data Part 1 English.vtt	8.3 KB
24 - Alternatives to KMeans Clustering Part 2 English.vtt	7.7 KB
33 - Topic Modeling Preparing Your Data Part 2 English.vtt	7.6 KB
39 - Manifold Learning in Practice Part 1 English.vtt	6.9 KB
28 - DensityBased Clustering DBSCAN and HDBSCAN Part 2 English.vtt	6.5 KB
38 - Manifold Learning Introduction Part 2 English.vtt	5.8 KB
22 - The Course Overview English.vtt	4.3 KB
2 - Test Your Knowledge.html	0.0 KB
26 - Agglomerative Clustering Finding Natural Hierarchies Part 2.mp4	195.9 MB
25 - Agglomerative Clustering Finding Natural Hierarchies Part 1.mp4	182.3 MB
29 - Gaussian Mixture Models.mp4	166.0 MB
44 - Deep Learning and Visualization Autoencoders and tSNE Part 2.mp4	160.7 MB
31 - Topic Modeling Overview Part 2.mp4	159.9 MB
27 - DensityBased Clustering DBSCAN and HDBSCAN Part 1.mp4	147.4 MB
23 - Alternatives to KMeans Clustering Part 1.mp4	136.3 MB
35 - Topic Modeling Running the Models Part 2.mp4	132.6 MB
36 - Topic Modeling Evaluating and Visualizing Results.mp4	129.9 MB
42 - Visualize HighDimensional Data tSNE and UMAP Part 2.mp4	126.2 MB
24 - Alternatives to KMeans Clustering Part 2.mp4	120.2 MB
34 - Topic Modeling Running the Models Part 1.mp4	119.6 MB
43 - Deep Learning and Visualization Autoencoders and tSNE Part 1.mp4	118.2 MB
30 - Topic Modeling Overview Part 1.mp4	111.5 MB
33 - Topic Modeling Preparing Your Data Part 2.mp4	110.2 MB
41 - Visualize HighDimensional Data tSNE and UMAP Part 1.mp4	107.3 MB
32 - Topic Modeling Preparing Your Data Part 1.mp4	100.2 MB
37 - Manifold Learning Introduction Part 1.mp4	96.0 MB
28 - DensityBased Clustering DBSCAN and HDBSCAN Part 2.mp4	91.5 MB
38 - Manifold Learning Introduction Part 2.mp4	84.5 MB
39 - Manifold Learning in Practice Part 1.mp4	73.8 MB
22 - The Course Overview.mp4	49.9 MB
/
TutsNode.net.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/.../1 - HandsOn Unsupervised Learning with Python/
1 - Test Your Knowledge.html	0.0 KB
20 - Case Study KMeans and Wholesale Data English.vtt	15.2 KB
6 - Understanding and Implementing the Apriori Algorithm English.vtt	14.0 KB
21 - Case Study KMeans and Wholesale Data Continued English.vtt	13.6 KB
19 - Evaluate Clustering Results English.vtt	12.9 KB
18 - Clustering Algorithm in Practice English.vtt	12.9 KB
9 - Unsupervised Learning and the Curse of Dimensionality English.vtt	12.7 KB
5 - The Apriori Algorithm Preparing the Data English.vtt	12.4 KB
10 - Approaches to Dimensionality Reduction English.vtt	11.6 KB
17 - Clustering Key Concepts English.vtt	11.3 KB
13 - The Linear Algebra Behind PCA English.vtt	10.7 KB
2 - Benefits of Unsupervised Learning English.vtt	10.0 KB
3 - How Market Basket Analysis Works English.vtt	9.7 KB
14 - The Linear Algebra Behind PCA Continued English.vtt	9.7 KB
8 - Visualizing and Interpreting Association Rules English.vtt	9.4 KB
12 - The Key Ideas Behind PCA Continued English.vtt	8.9 KB
15 - PCA in Practice English.vtt	8.7 KB
4 - How Market Basket Analysis Works Continued English.vtt	8.6 KB
7 - Finding Association Rules English.vtt	8.1 KB
11 - The Key Ideas Behind PCA English.vtt	7.7 KB
16 - PCA in Practice Continued English.vtt	7.3 KB
1 - The Course Overview English.vtt	5.4 KB
20 - Case Study KMeans and Wholesale Data.mp4	212.0 MB
21 - Case Study KMeans and Wholesale Data Continued.mp4	211.4 MB
6 - Understanding and Implementing the Apriori Algorithm.mp4	172.1 MB
19 - Evaluate Clustering Results.mp4	165.7 MB
18 - Clustering Algorithm in Practice.mp4	157.7 MB
9 - Unsupervised Learning and the Curse of Dimensionality.mp4	145.9 MB
5 - The Apriori Algorithm Preparing the Data.mp4	140.4 MB
17 - Clustering Key Concepts.mp4	121.3 MB
10 - Approaches to Dimensionality Reduction.mp4	119.7 MB
4 - How Market Basket Analysis Works Continued.mp4	119.4 MB
15 - PCA in Practice.mp4	117.8 MB
13 - The Linear Algebra Behind PCA.mp4	117.2 MB
3 - How Market Basket Analysis Works.mp4	117.0 MB
8 - Visualizing and Interpreting Association Rules.mp4	115.6 MB
2 - Benefits of Unsupervised Learning.mp4	111.8 MB
12 - The Key Ideas Behind PCA Continued.mp4	110.8 MB
16 - PCA in Practice Continued.mp4	109.8 MB
14 - The Linear Algebra Behind PCA Continued.mp4	109.5 MB
7 - Finding Association Rules.mp4	105.1 MB
11 - The Key Ideas Behind PCA.mp4	90.4 MB
1 - Unsupervised-Learning-with-Python-Step-by-Step-Tutorial.zip	87.7 MB
1 - The Course Overview.mp4	65.1 MB
/.pad/
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Total files 135