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The Complete Machine Learning Course From Zero to Expert
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[TutsNode.net] - The Complete Machine Learning Course From Zero to Expert (Size: 4.76 GB) (Files: 178)
[TutsNode.net] - The Complete Machine Learning Course From Zero to Expert
2 - Visualization Principal Component Analysis
5 - Using PCA.mp4
4 - Initial-Visualization.ipynb
3 - Introduction-to-the-Dataset.ipynb
4 - Initial Visualization.mp4
5 - Using-PCA.pdf
5 - Using PCA English.srt
4 - Initial Visualization English.srt
3 - Introduction to the Dataset.mp4
3 - crabs.csv
4 - Initial-Visualization.pdf
3 - Introduction to the Dataset English.srt
2 - Introduction-to-PCA.pdf
4 - crabs.csv
3 - Introduction-to-the-Dataset.pdf
2 - Introduction to PCA English.srt
2 - Introduction to PCA.mp4
5 - PCA-in-Crabs-Dataset.ipynb
10 - Ridge Regression
36 - Ridge Regression and Cross Validation.mp4
36 - Ridge Regression and Cross Validation English.srt
36 - Ridge-Regression.pdf
7 - Visualization Fisher Discriminant Analysis
26 - Fisher-Discriminant-Analysis-with-2-Dimensions.ipynb
23 - Introduction to Fisher Discriminant Analysis English.srt
24 - Dataset Information English.srt
26 - Fisher Discriminant Analysis with 2 Dimensions.mp4
25 - Introduction-to-the-Dataset.ipynb
27 - Fisher Discriminant Analysis with 3 Dimensions.mp4
27 - Fisher-Discriminant-Analysis-with-3-Dimensions.pdf
25 - crabs.csv
27 - Fisher Discriminant Analysis with 3 Dimensions English.srt
26 - Fisher-Discriminant-Analysis-with-2-Dimensions.pdf
27 - Fisher-Discriminant-Analysis-with-3-Dimensions.ipynb
26 - Fisher Discriminant Analysis with 2 Dimensions English.srt
25 - Introduction to the Dataset.mp4
25 - Introduction-to-the-Dataset.pdf
25 - Introduction to the Dataset English.srt
23 - Introduction to Fisher Discriminant Analysis.mp4
24 - Dataset Information.mp4
3 - Visualization Locally Linear Embedding LLE
8 - Introduction-to-the-Dataset.ipynb
10 - LLE with 3 Dimensions English.srt
10 - LLE with 3 Dimensions.mp4
9 - Using LLE.mp4
8 - crabs.csv
9 - crabs.csv
10 - crabs.csv
7 - Locally-Linear-Embedding-Algorithm.pdf
10 - LLE-with-3-Dimensions.pdf
9 - Using-LLE.pdf
6 - Introduction-to-LLE.pdf
10 - LLE-with-3-Dimensions.ipynb
9 - Using LLE English.srt
9 - Using-Locally-Linear-Embedding.ipynb
8 - Introduction-to-the-Dataset.pdf
8 - Introduction to the Dataset English.srt
7 - Locally Linear Embedding Algorithm English.srt
6 - Introduction to LLE English.srt
8 - Introduction to the Dataset.mp4
6 - Introduction to LLE.mp4
7 - Locally Linear Embedding Algorithm.mp4
4 - Visualization tStochastic Neighbor Embedding tSNE
14 - tSNE on Raw Data.mp4
16 - Using-t-SNE-with-Standardized-Data.ipynb
16 - Using-t-SNE-on-Standardized-Data.pdf
11 - Introduction to tSNE English.srt
12 - Dataset English.srt
15 - Using-t-SNE-with-Scaled-Data.ipynb
14 - tSNE on Raw Data English.srt
13 - Introduction-to-the-Dataset.ipynb
13 - crabs.csv
11 - Introduction-to-t-SNE.pdf
14 - Using-t-SNE-with-Raw-Data.ipynb
16 - tSNE on Standardized Data.mp4
15 - tSNE on Scaled Data.mp4
14 - Using-t-SNE-on-Raw-Data.pdf
15 - Using-t-SNE-on-Scaled-Data.pdf
13 - Introduction-to-the-Dataset.pdf
16 - tSNE on Standardized Data English.srt
13 - Introduction to the Dataset.mp4
15 - tSNE on Scaled Data English.srt
11 - Introduction to tSNE.mp4
13 - Introduction to the Dataset English.srt
12 - Dataset.mp4
6 - Visualization ISOMAP
22 - ISOMAP with 3 Dimensions.mp4
20 - Introduccion to ISOMAP English.srt
21 - ISOMAP with 2 Dimensions.mp4
22 - ISOMAP-with-3-Dimensions.ipynb
21 - ISOMAP with 2 Dimensions English.srt
21 - ISOMAP-with-2-Dimensions.ipynb
22 - ISOMAP with 3 Dimensions English.srt
20 - Introduction-to-ISOMAP.pdf
22 - ISOMAP-with-3-Dimensions.pdf
21 - ISOMAP-with-2-Dimensions.pdf
20 - Introduccion to ISOMAP.mp4
9 - Linear Regression
33 - Linear Regression.mp4
35 - Cross-Validation.ipynb
31 - Introduction-to-the-Dataset.ipynb
33 - Linear Regression English.srt
31 - LifeExpectancy.csv
34 - Metrics.ipynb
33 - Linear-Regression.ipynb
32 - Preprocessing.mp4
35 - Cross Validation.mp4
32 - Preprocessing.ipynb
35 - Cross-Validation.pdf
31 - Introduction to the Dataset.mp4
34 - Metrics.mp4
32 - Preprocessing English.srt
32 - Preprocessing.pdf
31 - Introduction-to-the-Dataset.pdf
33 - Linear-Regression.pdf
35 - Cross Validation English.srt
34 - Metrics.pdf
34 - Metrics English.srt
31 - Introduction to the Dataset English.srt
1 - Code Environment Setup
1 - Google-Colab-for-Programming-in-Python.pdf
1 - Google Colab for Programming in Python English.srt
1 - Google Colab for Programming in Python.mp4
8 - Visualization Final Project Images
28 - Images English.srt
30 - Fisher-Discriminant-Analysis.ipynb
29 - Introduction-to-Image-Dataset.pdf
30 - Fisher Discriminant Analysis.mp4
29 - Introduction-to-Image-Dataset.ipynb
30 - Fisher-Discriminant-Analysis.pdf
29 - Introduction to Image Dataset.mp4
30 - Fisher Discriminant Analysis English.srt
29 - Introduction to Image Dataset English.srt
28 - Images.mp4
5 - Visualization Multidimensional Scaling MDS
19 - MDS-with-3-Dimensions.ipynb
17 - Introduction to MDS English.srt
18 - Using MDS with 2 Dimensions.mp4
19 - Using MDS with 3 Dimensions.mp4
18 - Using MDS with 2 Dimensions English.srt
18 - MDS-with-2-Dimensions.ipynb
19 - Using MDS with 3 Dimensions English.srt
18 - Multidimensional-Scaling-with-2-Dimensions.pdf
19 - Multidimensional-Scaling-with-3-Dimensions.pdf
17 - Introduction to MDS.mp4
11 - Lasso Regression
37 - Lasso-Regression.ipynb
37 - Lasso Regression and Cross Validation.mp4
37 - Lasso-Regression.pdf
37 - Lasso Regression and Cross Validation English.srt
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