Other
Visualization Machine Learning in Python
Torrent info
Torrent Files List
[TutsNode.net] - Visualization Machine Learning in Python (Size: 4.14 GB) (Files: 125)
[TutsNode.net] - Visualization Machine Learning in Python
2 - Principal Component Analysis PCA
5 - Using PCA.mp4
3 - Introduction-to-the-Dataset.ipynb
4 - Initial Visualization.mp4
4 - Initial-Visualization.ipynb
5 - Using-PCA.pdf
5 - PCA-in-Crabs-Dataset.ipynb
3 - crabs.csv
3 - Introduction to the Dataset.mp4
6 - Principal-Component-Analysis-PCA.pdf
4 - Initial-Visualization.pdf
6 - Explanation of PCA.mp4
2 - Introduction-to-PCA.pdf
3 - Introduction-to-the-Dataset.pdf
2 - Introduction to PCA.mp4
4 - tStochastic Neighbor Embedding tSNE
16 - Using-t-SNE-with-Scaled-Data.ipynb
15 - tSNE on Raw Data.mp4
16 - Using-t-SNE-on-Scaled-Data.pdf
17 - Using-t-SNE-with-Standardized-Data.ipynb
14 - crabs.csv
14 - Introduction-to-the-Dataset.ipynb
17 - Using-t-SNE-on-Standardized-Data.pdf
12 - Introduction-to-t-SNE.pdf
17 - tSNE on Standardized Data.mp4
16 - tSNE on Scaled Data.mp4
14 - Introduction to the Dataset.mp4
12 - Introduction to tSNE.mp4
15 - Using-t-SNE-with-Raw-Data.ipynb
15 - Using-t-SNE-on-Raw-Data.pdf
14 - Introduction-to-the-Dataset.pdf
13 - Dataset.mp4
8 - Final Project Images
31 - Locally-Linear-Embedding.pdf
30 - Introduction-to-Image-Dataset.ipynb
33 - Fisher-Discriminant-Analysis.ipynb
33 - Fisher Discriminant Analysis.mp4
31 - Locally Linear Embedding.mp4
34 - ISOMAP-Image-Project.ipynb
32 - Principal Component Analysis.mp4
34 - ISOMAP.mp4
32 - Principal-Component-Analysis.ipynb
34 - ISOMAP-Image-Project.pdf
32 - Principal-Component-Analysis.pdf
33 - Fisher-Discriminant-Analysis.pdf
30 - Introduction-to-Image-Dataset.pdf
31 - Locally-Linear-Embedding.ipynb
30 - Introduction to Image Dataset.mp4
29 - Images.mp4
6 - ISOMAP
23 - ISOMAP with 3 Dimensions.mp4
22 - ISOMAP with 2 Dimensions.mp4
23 - ISOMAP-with-3-Dimensions.pdf
22 - ISOMAP-with-2-Dimensions.ipynb
23 - ISOMAP-with-3-Dimensions.ipynb
21 - Introduction-to-ISOMAP.pdf
22 - ISOMAP-with-2-Dimensions.pdf
21 - Introduccion to ISOMAP.mp4
7 - Fisher Discriminant Analysis
27 - Fisher-Discriminant-Analysis-with-2-Dimensions.ipynb
27 - Fisher Discriminant Analysis with 2 Dimensions.mp4
26 - Introduction-to-the-Dataset.ipynb
28 - Fisher Discriminant Analysis with 3 Dimensions.mp4
28 - Fisher-Discriminant-Analysis-with-3-Dimensions.pdf
27 - Fisher-Discriminant-Analysis-with-2-Dimensions.pdf
28 - Fisher-Discriminant-Analysis-with-3-Dimensions.ipynb
26 - Introduction to the Dataset.mp4
24 - Introduction-to-Fisher-Discriminant-Analysis.pdf
26 - Introduction-to-the-Dataset.pdf
24 - Introduction to Fisher Discriminant Analysis.mp4
25 - Dataset Information.mp4
3 - Locally Linear Embedding LLE
9 - Introduction-to-the-Dataset.ipynb
11 - LLE with 3 Dimensions.mp4
10 - Using LLE.mp4
9 - crabs.csv
10 - Using-LLE.pdf
8 - Locally-Linear-Embedding-Algorithm.pdf
10 - Using-Locally-Linear-Embedding.ipynb
11 - LLE-with-3-Dimensions.pdf
7 - Introduction-to-LLE.pdf
11 - LLE-with-3-Dimensions.ipynb
9 - Introduction to the Dataset.mp4
7 - Introduction to LLE.mp4
9 - Introduction-to-the-Dataset.pdf
8 - Locally Linear Embedding Algorithm.mp4
5 - Multidimensional Scaling MDS
18 - Introduction-to-Multidimensional-Scaling.pdf
20 - MDS-with-3-Dimensions.ipynb
19 - Using MDS with 2 Dimensions.mp4
19 - MDS-with-2-Dimensions.ipynb
20 - Using MDS with 3 Dimensions.mp4
18 - Introduction to MDS.mp4
19 - Multidimensional-Scaling-with-2-Dimensions.pdf
20 - Multidimensional-Scaling-with-3-Dimensions.pdf
1 - Code Environment Setup
1 - Google-Colab-for-Programming-in-Python.pdf
1 - Google Colab for Programming in Python.mp4
TutsNode.net.txt
[TGx]Downloaded from torrentgalaxy.to .txt
.pad
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
Torrent description
Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information, Watch Visualization Machine Learning in Python Online Free Full Movies Like 123Movies, Putlockers, Fmovies, Netflix or Download Direct via Magnet Link in Torrent Details.
