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| [TGx]Downloaded from torrentgalaxy.to .txt |
585B |
| 0 |
1.84KB |
| 1 |
4.96KB |
| 10 |
44.21KB |
| 10 - Using LLE.mp4 |
200.10MB |
| 10 - Using-LLE.pdf |
199.84KB |
| 10 - Using-Locally-Linear-Embedding.ipynb |
83.73KB |
| 11 |
38.36KB |
| 11 - LLE-with-3-Dimensions.ipynb |
218.64KB |
| 11 - LLE with 3 Dimensions.mp4 |
201.84MB |
| 11 - LLE-with-3-Dimensions.pdf |
237.06KB |
| 12 |
3.33KB |
| 12 - Introduction to tSNE.mp4 |
35.46MB |
| 12 - Introduction-to-t-SNE.pdf |
374.68KB |
| 13 |
5.15KB |
| 13 - Dataset.mp4 |
3.02MB |
| 14 |
49.65KB |
| 14 - crabs.csv |
5.97KB |
| 14 - Introduction-to-the-Dataset.ipynb |
11.06KB |
| 14 - Introduction to the Dataset.mp4 |
84.94MB |
| 14 - Introduction-to-the-Dataset.pdf |
163.22KB |
| 15 |
1.29KB |
| 15 - tSNE on Raw Data.mp4 |
256.69MB |
| 15 - Using-t-SNE-on-Raw-Data.pdf |
182.03KB |
| 15 - Using-t-SNE-with-Raw-Data.ipynb |
192.77KB |
| 16 |
42.43KB |
| 16 - tSNE on Scaled Data.mp4 |
145.39MB |
| 16 - Using-t-SNE-on-Scaled-Data.pdf |
180.83KB |
| 16 - Using-t-SNE-with-Scaled-Data.ipynb |
395.47KB |
| 17 |
15.77KB |
| 17 - tSNE on Standardized Data.mp4 |
146.62MB |
| 17 - Using-t-SNE-on-Standardized-Data.pdf |
182.66KB |
| 17 - Using-t-SNE-with-Standardized-Data.ipynb |
583.61KB |
| 18 |
117.80KB |
| 18 - Introduction to MDS.mp4 |
21.18MB |
| 18 - Introduction-to-Multidimensional-Scaling.pdf |
164.48KB |
| 19 |
23.67KB |
| 19 - MDS-with-2-Dimensions.ipynb |
89.60KB |
| 19 - Multidimensional-Scaling-with-2-Dimensions.pdf |
158.90KB |
| 19 - Using MDS with 2 Dimensions.mp4 |
150.06MB |
| 1 - Google Colab for Programming in Python.mp4 |
9.57MB |
| 1 - Google-Colab-for-Programming-in-Python.pdf |
577.77KB |
| 2 |
826B |
| 20 |
48.91KB |
| 20 - MDS-with-3-Dimensions.ipynb |
230.70KB |
| 20 - Multidimensional-Scaling-with-3-Dimensions.pdf |
158.83KB |
| 20 - Using MDS with 3 Dimensions.mp4 |
143.75MB |
| 21 |
65.86KB |
| 21 - Introduccion to ISOMAP.mp4 |
17.46MB |
| 21 - Introduction-to-ISOMAP.pdf |
164.31KB |
| 22 |
152.53KB |
| 22 - ISOMAP-with-2-Dimensions.ipynb |
90.13KB |
| 22 - ISOMAP with 2 Dimensions.mp4 |
214.13MB |
| 22 - ISOMAP-with-2-Dimensions.pdf |
160.03KB |
| 23 |
158.53KB |
| 23 - ISOMAP-with-3-Dimensions.ipynb |
224.77KB |
| 23 - ISOMAP with 3 Dimensions.mp4 |
247.82MB |
| 23 - ISOMAP-with-3-Dimensions.pdf |
160.15KB |
| 24 |
131.81KB |
| 24 - Introduction to Fisher Discriminant Analysis.mp4 |
12.68MB |
| 24 - Introduction-to-Fisher-Discriminant-Analysis.pdf |
196.68KB |
| 25 |
121.44KB |
| 25 - Dataset Information.mp4 |
2.97MB |
| 26 |
64.31KB |
| 26 - Introduction-to-the-Dataset.ipynb |
11.06KB |
| 26 - Introduction to the Dataset.mp4 |
84.95MB |
| 26 - Introduction-to-the-Dataset.pdf |
163.22KB |
| 27 |
210.63KB |
| 27 - Fisher-Discriminant-Analysis-with-2-Dimensions.ipynb |
97.40KB |
| 27 - Fisher Discriminant Analysis with 2 Dimensions.mp4 |
209.59MB |
| 27 - Fisher-Discriminant-Analysis-with-2-Dimensions.pdf |
250.88KB |
| 28 |
548.30KB |
| 28 - Fisher-Discriminant-Analysis-with-3-Dimensions.ipynb |
216.03KB |
| 28 - Fisher Discriminant Analysis with 3 Dimensions.mp4 |
188.01MB |
| 28 - Fisher-Discriminant-Analysis-with-3-Dimensions.pdf |
251.00KB |
| 29 |
332.25KB |
| 29 - Images.mp4 |
1.98MB |
| 2 - Introduction to PCA.mp4 |
19.88MB |
| 2 - Introduction-to-PCA.pdf |
194.44KB |
| 3 |
576B |
| 30 |
435.33KB |
| 30 - Introduction-to-Image-Dataset.ipynb |
22.22KB |
| 30 - Introduction to Image Dataset.mp4 |
91.33MB |
| 30 - Introduction-to-Image-Dataset.pdf |
302.75KB |
| 31 |
1001.88KB |
| 31 - Locally-Linear-Embedding.ipynb |
221.98KB |
| 31 - Locally Linear Embedding.mp4 |
165.30MB |
| 31 - Locally-Linear-Embedding.pdf |
308.25KB |
| 32 |
33.06KB |
| 32 - Principal-Component-Analysis.ipynb |
347.33KB |
| 32 - Principal Component Analysis.mp4 |
164.80MB |
| 32 - Principal-Component-Analysis.pdf |
303.71KB |
| 33 - Fisher-Discriminant-Analysis.ipynb |
316.70KB |
| 33 - Fisher Discriminant Analysis.mp4 |
182.82MB |
| 33 - Fisher-Discriminant-Analysis.pdf |
303.20KB |
| 34 - ISOMAP.mp4 |
151.13MB |
| 34 - ISOMAP-Image-Project.ipynb |
306.48KB |
| 34 - ISOMAP-Image-Project.pdf |
303.85KB |
| 3 - crabs.csv |
5.97KB |
| 3 - Introduction-to-the-Dataset.ipynb |
43.87KB |
| 3 - Introduction to the Dataset.mp4 |
166.31MB |
| 3 - Introduction-to-the-Dataset.pdf |
167.98KB |
| 4 |
3.39KB |
| 4 - Initial-Visualization.ipynb |
719.22KB |
| 4 - Initial Visualization.mp4 |
217.32MB |
| 4 - Initial-Visualization.pdf |
243.93KB |
| 5 |
5.04KB |
| 5 - PCA-in-Crabs-Dataset.ipynb |
986.53KB |
| 5 - Using PCA.mp4 |
461.57MB |
| 5 - Using-PCA.pdf |
388.94KB |
| 6 |
1.86KB |
| 6 - Explanation of PCA.mp4 |
98.21MB |
| 6 - Principal-Component-Analysis-PCA.pdf |
567.85KB |
| 7 |
4.84KB |
| 7 - Introduction to LLE.mp4 |
19.62MB |
| 7 - Introduction-to-LLE.pdf |
237.03KB |
| 8 |
14.81KB |
| 8 - Locally Linear Embedding Algorithm.mp4 |
19.17MB |
| 8 - Locally-Linear-Embedding-Algorithm.pdf |
295.99KB |
| 9 |
5.13KB |
| 9 - crabs.csv |
5.97KB |
| 9 - Introduction-to-the-Dataset.ipynb |
11.06KB |
| 9 - Introduction to the Dataset.mp4 |
84.85MB |
| 9 - Introduction-to-the-Dataset.pdf |
163.22KB |
| TutsNode.net.txt |
63B |