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[TGx]Downloaded from torrentgalaxy.to .txt |
585б |
0 |
318б |
1 |
194б |
10 |
20б |
10 - crabs.csv |
5.97Кб |
10 - LLE-with-3-Dimensions.ipynb |
218.64Кб |
10 - LLE with 3 Dimensions.mp4 |
202.94Мб |
10 - LLE-with-3-Dimensions.pdf |
237.06Кб |
10 - LLE with 3 Dimensions English.srt |
32.74Кб |
11 |
3.58Кб |
11 - Introduction to tSNE.mp4 |
35.61Мб |
11 - Introduction-to-t-SNE.pdf |
374.68Кб |
11 - Introduction to tSNE English.srt |
6.49Кб |
12 |
101б |
12 - Dataset.mp4 |
2.99Мб |
12 - Dataset English.srt |
889б |
13 |
1.62Кб |
13 - crabs.csv |
5.97Кб |
13 - Introduction-to-the-Dataset.ipynb |
11.06Кб |
13 - Introduction to the Dataset.mp4 |
85.54Мб |
13 - Introduction-to-the-Dataset.pdf |
163.22Кб |
13 - Introduction to the Dataset English.srt |
20.99Кб |
14 |
70б |
14 - tSNE on Raw Data.mp4 |
258.25Мб |
14 - tSNE on Raw Data English.srt |
50.17Кб |
14 - Using-t-SNE-on-Raw-Data.pdf |
182.03Кб |
14 - Using-t-SNE-with-Raw-Data.ipynb |
192.77Кб |
15 |
2.33Кб |
15 - tSNE on Scaled Data.mp4 |
146.09Мб |
15 - tSNE on Scaled Data English.srt |
23.17Кб |
15 - Using-t-SNE-on-Scaled-Data.pdf |
180.83Кб |
15 - Using-t-SNE-with-Scaled-Data.ipynb |
395.47Кб |
16 |
3.84Кб |
16 - tSNE on Standardized Data.mp4 |
147.34Мб |
16 - tSNE on Standardized Data English.srt |
23.52Кб |
16 - Using-t-SNE-on-Standardized-Data.pdf |
182.66Кб |
16 - Using-t-SNE-with-Standardized-Data.ipynb |
583.61Кб |
17 |
3.11Кб |
17 - Introduction to MDS.mp4 |
21.32Мб |
17 - Introduction to MDS English.srt |
4.04Кб |
18 |
420б |
18 - MDS-with-2-Dimensions.ipynb |
89.60Кб |
18 - Multidimensional-Scaling-with-2-Dimensions.pdf |
158.90Кб |
18 - Using MDS with 2 Dimensions.mp4 |
150.93Мб |
18 - Using MDS with 2 Dimensions English.srt |
28.12Кб |
19 |
346б |
19 - MDS-with-3-Dimensions.ipynb |
230.70Кб |
19 - Multidimensional-Scaling-with-3-Dimensions.pdf |
158.83Кб |
19 - Using MDS with 3 Dimensions.mp4 |
144.53Мб |
19 - Using MDS with 3 Dimensions English.srt |
27.44Кб |
1 - Google Colab for Programming in Python.mp4 |
9.70Мб |
1 - Google-Colab-for-Programming-in-Python.pdf |
577.77Кб |
1 - Google Colab for Programming in Python English.srt |
3.52Кб |
2 |
266б |
20 |
1.14Кб |
20 - Introduccion to ISOMAP.mp4 |
17.60Мб |
20 - Introduccion to ISOMAP English.srt |
3.36Кб |
20 - Introduction-to-ISOMAP.pdf |
164.31Кб |
21 |
96б |
21 - ISOMAP-with-2-Dimensions.ipynb |
90.13Кб |
21 - ISOMAP with 2 Dimensions.mp4 |
215.29Мб |
21 - ISOMAP-with-2-Dimensions.pdf |
160.03Кб |
21 - ISOMAP with 2 Dimensions English.srt |
40.50Кб |
22 |
1.80Кб |
22 - ISOMAP-with-3-Dimensions.ipynb |
224.77Кб |
22 - ISOMAP with 3 Dimensions.mp4 |
248.94Мб |
22 - ISOMAP-with-3-Dimensions.pdf |
160.15Кб |
22 - ISOMAP with 3 Dimensions English.srt |
38.84Кб |
23 |
2.51Кб |
23 - Introduction to Fisher Discriminant Analysis.mp4 |
12.80Мб |
23 - Introduction to Fisher Discriminant Analysis English.srt |
3.09Кб |
24 |
4.41Кб |
24 - Dataset Information.mp4 |
2.99Мб |
24 - Dataset Information English.srt |
889б |
25 |
13.04Кб |
25 - crabs.csv |
5.97Кб |
25 - Introduction-to-the-Dataset.ipynb |
11.06Кб |
25 - Introduction to the Dataset.mp4 |
85.54Мб |
25 - Introduction-to-the-Dataset.pdf |
163.22Кб |
25 - Introduction to the Dataset English.srt |
20.99Кб |
26 |
16.40Кб |
26 - Fisher-Discriminant-Analysis-with-2-Dimensions.ipynb |
97.40Кб |
26 - Fisher Discriminant Analysis with 2 Dimensions.mp4 |
210.77Мб |
26 - Fisher-Discriminant-Analysis-with-2-Dimensions.pdf |
250.88Кб |
26 - Fisher Discriminant Analysis with 2 Dimensions English.srt |
36.75Кб |
27 |
655.75Кб |
27 - Fisher-Discriminant-Analysis-with-3-Dimensions.ipynb |
216.03Кб |
27 - Fisher Discriminant Analysis with 3 Dimensions.mp4 |
189.05Мб |
27 - Fisher-Discriminant-Analysis-with-3-Dimensions.pdf |
251.00Кб |
27 - Fisher Discriminant Analysis with 3 Dimensions English.srt |
32.68Кб |
28 |
937.46Кб |
28 - Images.mp4 |
2.00Мб |
28 - Images English.srt |
597б |
29 |
259.64Кб |
29 - Introduction-to-Image-Dataset.ipynb |
22.22Кб |
29 - Introduction to Image Dataset.mp4 |
92.10Мб |
29 - Introduction-to-Image-Dataset.pdf |
302.75Кб |
29 - Introduction to Image Dataset English.srt |
23.04Кб |
2 - Introduction to PCA.mp4 |
20.08Мб |
2 - Introduction-to-PCA.pdf |
194.44Кб |
2 - Introduction to PCA English.srt |
5.32Кб |
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520б |
30 |
684.26Кб |
30 - Fisher-Discriminant-Analysis.ipynb |
316.70Кб |
30 - Fisher Discriminant Analysis.mp4 |
183.87Мб |
30 - Fisher-Discriminant-Analysis.pdf |
303.20Кб |
30 - Fisher Discriminant Analysis English.srt |
35.24Кб |
31 |
411.03Кб |
31 - Introduction-to-the-Dataset.ipynb |
15.49Кб |
31 - Introduction to the Dataset.mp4 |
100.37Мб |
31 - Introduction-to-the-Dataset.pdf |
173.68Кб |
31 - Introduction to the Dataset English.srt |
20.26Кб |
31 - LifeExpectancy.csv |
367.21Кб |
32 |
208.26Кб |
32 - Preprocessing.ipynb |
31.31Кб |
32 - Preprocessing.mp4 |
160.74Мб |
32 - Preprocessing.pdf |
169.05Кб |
32 - Preprocessing English.srt |
37.68Кб |
33 |
310.79Кб |
33 - Linear-Regression.ipynb |
303.45Кб |
33 - Linear Regression.mp4 |
224.08Мб |
33 - Linear-Regression.pdf |
167.93Кб |
33 - Linear Regression English.srt |
44.97Кб |
34 |
6.22Кб |
34 - Metrics.ipynb |
316.60Кб |
34 - Metrics.mp4 |
97.52Мб |
34 - Metrics.pdf |
162.39Кб |
34 - Metrics English.srt |
20.57Кб |
35 |
8.04Кб |
35 - Cross-Validation.ipynb |
327.31Кб |
35 - Cross Validation.mp4 |
156.51Мб |
35 - Cross-Validation.pdf |
245.13Кб |
35 - Cross Validation English.srt |
31.25Кб |
36 |
1023.16Кб |
36 - Ridge-Regression.pdf |
186.42Кб |
36 - Ridge Regression and Cross Validation.mp4 |
326.89Мб |
36 - Ridge Regression and Cross Validation English.srt |
54.76Кб |
37 - Lasso-Regression.ipynb |
388.04Кб |
37 - Lasso-Regression.pdf |
167.16Кб |
37 - Lasso Regression and Cross Validation.mp4 |
128.97Мб |
37 - Lasso Regression and Cross Validation English.srt |
20.22Кб |
3 - crabs.csv |
5.97Кб |
3 - Introduction-to-the-Dataset.ipynb |
43.87Кб |
3 - Introduction to the Dataset.mp4 |
167.37Мб |
3 - Introduction-to-the-Dataset.pdf |
167.98Кб |
3 - Introduction to the Dataset English.srt |
30.81Кб |
4 |
1.31Кб |
4 - crabs.csv |
5.97Кб |
4 - Initial-Visualization.ipynb |
719.22Кб |
4 - Initial Visualization.mp4 |
218.55Мб |
4 - Initial-Visualization.pdf |
243.93Кб |
4 - Initial Visualization English.srt |
41.18Кб |
5 |
71б |
5 - PCA-in-Crabs-Dataset.ipynb |
986.53Кб |
5 - Using PCA.mp4 |
464.25Мб |
5 - Using-PCA.pdf |
388.94Кб |
5 - Using PCA English.srt |
90.33Кб |
6 |
2.19Кб |
6 - Introduction to LLE.mp4 |
19.75Мб |
6 - Introduction-to-LLE.pdf |
237.03Кб |
6 - Introduction to LLE English.srt |
4.03Кб |
7 |
118б |
7 - Locally Linear Embedding Algorithm.mp4 |
19.33Мб |
7 - Locally-Linear-Embedding-Algorithm.pdf |
295.99Кб |
7 - Locally Linear Embedding Algorithm English.srt |
4.81Кб |
8 |
1.72Кб |
8 - crabs.csv |
5.97Кб |
8 - Introduction-to-the-Dataset.ipynb |
11.06Кб |
8 - Introduction to the Dataset.mp4 |
85.52Мб |
8 - Introduction-to-the-Dataset.pdf |
163.22Кб |
8 - Introduction to the Dataset English.srt |
20.99Кб |
9 |
146б |
9 - crabs.csv |
5.97Кб |
9 - Using LLE.mp4 |
201.33Мб |
9 - Using-LLE.pdf |
199.84Кб |
9 - Using LLE English.srt |
40.18Кб |
9 - Using-Locally-Linear-Embedding.ipynb |
83.73Кб |
TutsNode.net.txt |
59б |