Unsupervised Learning with Python StepbyStep Tutorial | 73F380A9F57814B756A1084A30AD90D829219F6B

Unsupervised Learning with Python StepbyStep Tutorial

Name	Unsupervised Learning with Python StepbyStep Tutorial	Removed
Total Size	5.8 GB
Total Files	135
Last Seen
Hash	73F380A9F57814B756A1084A30AD90D829219F6B

/.../2 - Mastering Unsupervised Learning with Python/
40 - Manifold Learning in Practice Part 2.mp4	226.5 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
/.../2 - Mastering Unsupervised Learning with Python/
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
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Total files 135