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| 1 - Google Colab for Programming in Python English.srt | 3.5 KB | ||
| 1 - Google Colab for Programming in Python.mp4 | 9.7 MB | ||
| 1 - Google-Colab-for-Programming-in-Python.pdf | 577.8 KB | ||
| 1 | 204.8 B | ||
| 2 | 307.2 B | ||
| 3 | 512 B | ||
| 4 | 1.3 KB | ||
| 5 | 102.4 B | ||
| 10 - LLE with 3 Dimensions English.srt | 32.7 KB | ||
| 10 - LLE with 3 Dimensions.mp4 | 202.9 MB | ||
| 10 - LLE-with-3-Dimensions.ipynb | 218.6 KB | ||
| 10 - LLE-with-3-Dimensions.pdf | 237.1 KB | ||
| 10 - crabs.csv | 6 KB | ||
| 11 - Introduction to tSNE English.srt | 6.5 KB | ||
| 11 - Introduction to tSNE.mp4 | 35.6 MB | ||
| 11 - Introduction-to-t-SNE.pdf | 374.7 KB | ||
| 12 - Dataset English.srt | 921.6 B | ||
| 12 - Dataset.mp4 | 3 MB | ||
| 13 - Introduction to the Dataset English.srt | 21 KB | ||
| 13 - Introduction to the Dataset.mp4 | 85.5 MB | ||
| 13 - Introduction-to-the-Dataset.ipynb | 11.1 KB | ||
| 13 - Introduction-to-the-Dataset.pdf | 163.2 KB | ||
| 13 - crabs.csv | 6 KB | ||
| 14 - Using-t-SNE-on-Raw-Data.pdf | 182 KB | ||
| 14 - Using-t-SNE-with-Raw-Data.ipynb | 192.8 KB | ||
| 14 - tSNE on Raw Data English.srt | 50.2 KB | ||
| 14 - tSNE on Raw Data.mp4 | 258.3 MB | ||
| 15 - Using-t-SNE-on-Scaled-Data.pdf | 180.8 KB | ||
| 15 - Using-t-SNE-with-Scaled-Data.ipynb | 395.5 KB | ||
| 15 - tSNE on Scaled Data English.srt | 23.2 KB | ||
| 15 - tSNE on Scaled Data.mp4 | 146.1 MB | ||
| 16 - Using-t-SNE-on-Standardized-Data.pdf | 182.7 KB | ||
| 16 - Using-t-SNE-with-Standardized-Data.ipynb | 583.6 KB | ||
| 16 - tSNE on Standardized Data English.srt | 23.5 KB | ||
| 16 - tSNE on Standardized Data.mp4 | 147.3 MB | ||
| 17 - Introduction to MDS English.srt | 4 KB | ||
| 17 - Introduction to MDS.mp4 | 21.3 MB | ||
| 18 - MDS-with-2-Dimensions.ipynb | 89.6 KB | ||
| 18 - Multidimensional-Scaling-with-2-Dimensions.pdf | 158.9 KB | ||
| 18 - Using MDS with 2 Dimensions English.srt | 28.1 KB | ||
| 18 - Using MDS with 2 Dimensions.mp4 | 150.9 MB | ||
| 19 - MDS-with-3-Dimensions.ipynb | 230.7 KB | ||
| 19 - Multidimensional-Scaling-with-3-Dimensions.pdf | 158.8 KB | ||
| 19 - Using MDS with 3 Dimensions English.srt | 27.4 KB | ||
| 19 - Using MDS with 3 Dimensions.mp4 | 144.5 MB | ||
| 2 - Introduction to PCA English.srt | 5.3 KB | ||
| 2 - Introduction to PCA.mp4 | 20.1 MB | ||
| 2 - Introduction-to-PCA.pdf | 194.4 KB | ||
| 20 - Introduccion to ISOMAP English.srt | 3.4 KB | ||
| 20 - Introduccion to ISOMAP.mp4 | 17.6 MB | ||
| 20 - Introduction-to-ISOMAP.pdf | 164.3 KB | ||
| 21 - ISOMAP with 2 Dimensions English.srt | 40.5 KB | ||
| 21 - ISOMAP with 2 Dimensions.mp4 | 215.3 MB | ||
| 21 - ISOMAP-with-2-Dimensions.ipynb | 90.1 KB | ||
| 21 - ISOMAP-with-2-Dimensions.pdf | 160 KB | ||
| 22 - ISOMAP with 3 Dimensions English.srt | 38.8 KB | ||
| 22 - ISOMAP with 3 Dimensions.mp4 | 248.9 MB | ||
| 22 - ISOMAP-with-3-Dimensions.ipynb | 224.8 KB | ||
| 22 - ISOMAP-with-3-Dimensions.pdf | 160.2 KB | ||
| 23 - Introduction to Fisher Discriminant Analysis English.srt | 3.1 KB | ||
| 23 - Introduction to Fisher Discriminant Analysis.mp4 | 12.8 MB | ||
| 24 - Dataset Information English.srt | 921.6 B | ||
| 24 - Dataset Information.mp4 | 3 MB | ||
| 25 - Introduction to the Dataset English.srt | 21 KB | ||
| 25 - Introduction to the Dataset.mp4 | 85.5 MB | ||
| 25 - Introduction-to-the-Dataset.ipynb | 11.1 KB | ||
| 25 - Introduction-to-the-Dataset.pdf | 163.2 KB | ||
| 25 - crabs.csv | 6 KB | ||
| 26 - Fisher Discriminant Analysis with 2 Dimensions English.srt | 36.7 KB | ||
| 26 - Fisher Discriminant Analysis with 2 Dimensions.mp4 | 210.8 MB | ||
| 26 - Fisher-Discriminant-Analysis-with-2-Dimensions.ipynb | 97.4 KB | ||
| 26 - Fisher-Discriminant-Analysis-with-2-Dimensions.pdf | 250.9 KB | ||
| 27 - Fisher Discriminant Analysis with 3 Dimensions English.srt | 32.7 KB | ||
| 27 - Fisher Discriminant Analysis with 3 Dimensions.mp4 | 189 MB | ||
| 27 - Fisher-Discriminant-Analysis-with-3-Dimensions.ipynb | 216 KB | ||
| 27 - Fisher-Discriminant-Analysis-with-3-Dimensions.pdf | 251 KB | ||
| 28 - Images English.srt | 614.4 B | ||
| 28 - Images.mp4 | 2 MB | ||
| 29 - Introduction to Image Dataset English.srt | 23 KB | ||
| 29 - Introduction to Image Dataset.mp4 | 92.1 MB | ||
| 29 - Introduction-to-Image-Dataset.ipynb | 22.2 KB | ||
| 29 - Introduction-to-Image-Dataset.pdf | 302.8 KB | ||
| 3 - Introduction to the Dataset English.srt | 30.8 KB | ||
| 3 - Introduction to the Dataset.mp4 | 167.4 MB | ||
| 3 - Introduction-to-the-Dataset.ipynb | 43.9 KB | ||
| 3 - Introduction-to-the-Dataset.pdf | 168 KB | ||
| 3 - crabs.csv | 6 KB | ||
| 30 - Fisher Discriminant Analysis English.srt | 35.2 KB | ||
| 30 - Fisher Discriminant Analysis.mp4 | 183.9 MB | ||
| 30 - Fisher-Discriminant-Analysis.ipynb | 316.7 KB | ||
| 30 - Fisher-Discriminant-Analysis.pdf | 303.2 KB | ||
| 31 - Introduction to the Dataset English.srt | 20.3 KB | ||
| 31 - Introduction to the Dataset.mp4 | 100.4 MB | ||
| 31 - Introduction-to-the-Dataset.ipynb | 15.5 KB | ||
| 31 - Introduction-to-the-Dataset.pdf | 173.7 KB | ||
| 31 - LifeExpectancy.csv | 367.2 KB | ||
| 32 - Preprocessing English.srt | 37.7 KB | ||
| 32 - Preprocessing.ipynb | 31.3 KB | ||
| 32 - Preprocessing.mp4 | 160.7 MB | ||
| 32 - Preprocessing.pdf | 169 KB | ||
| 33 - Linear Regression English.srt | 45 KB | ||
| 33 - Linear Regression.mp4 | 224.1 MB | ||
| 33 - Linear-Regression.ipynb | 303.5 KB | ||
| 33 - Linear-Regression.pdf | 167.9 KB | ||
| 34 - Metrics English.srt | 20.6 KB | ||
| 34 - Metrics.ipynb | 316.6 KB | ||
| 34 - Metrics.mp4 | 97.5 MB | ||
| 34 - Metrics.pdf | 162.4 KB | ||
| 35 - Cross Validation English.srt | 31.2 KB | ||
| 35 - Cross Validation.mp4 | 156.5 MB | ||
| 35 - Cross-Validation.ipynb | 327.3 KB | ||
| 35 - Cross-Validation.pdf | 245.1 KB | ||
| 36 - Ridge Regression and Cross Validation English.srt | 54.8 KB | ||
| 36 - Ridge Regression and Cross Validation.mp4 | 326.9 MB | ||
| 36 - Ridge-Regression.pdf | 186.4 KB | ||
| 37 - Lasso Regression and Cross Validation English.srt | 20.2 KB | ||
| 37 - Lasso Regression and Cross Validation.mp4 | 129 MB | ||
| 37 - Lasso-Regression.ipynb | 388 KB | ||
| 37 - Lasso-Regression.pdf | 167.2 KB | ||
| 4 - Initial Visualization English.srt | 41.2 KB | ||
| 4 - Initial Visualization.mp4 | 218.6 MB | ||
| 4 - Initial-Visualization.ipynb | 719.2 KB | ||
| 4 - Initial-Visualization.pdf | 243.9 KB | ||
| 4 - crabs.csv | 6 KB | ||
| 5 - PCA-in-Crabs-Dataset.ipynb | 986.5 KB | ||
| 5 - Using PCA English.srt | 90.3 KB | ||
| 5 - Using PCA.mp4 | 464.3 MB | ||
| 5 - Using-PCA.pdf | 388.9 KB | ||
| 6 - Introduction to LLE English.srt | 4 KB | ||
| 6 - Introduction to LLE.mp4 | 19.7 MB | ||
| 6 - Introduction-to-LLE.pdf | 237 KB | ||
| 7 - Locally Linear Embedding Algorithm English.srt | 4.8 KB | ||
| 7 - Locally Linear Embedding Algorithm.mp4 | 19.3 MB | ||
| 7 - Locally-Linear-Embedding-Algorithm.pdf | 296 KB | ||
| 8 - Introduction to the Dataset English.srt | 21 KB | ||
| 8 - Introduction to the Dataset.mp4 | 85.5 MB | ||
| 8 - Introduction-to-the-Dataset.ipynb | 11.1 KB | ||
| 8 - Introduction-to-the-Dataset.pdf | 163.2 KB | ||
| 8 - crabs.csv | 6 KB | ||
| 9 - Using LLE English.srt | 40.2 KB | ||
| 9 - Using LLE.mp4 | 201.3 MB | ||
| 9 - Using-LLE.pdf | 199.8 KB | ||
| 9 - Using-Locally-Linear-Embedding.ipynb | 83.7 KB | ||
| 9 - crabs.csv | 6 KB | ||
| TutsNode.net.txt | 102.4 B | ||
| [TGx]Downloaded from torrentgalaxy.to .txt | 614.4 B | ||
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| ▲ 176 total files | |||
Description
You’ve just stumbled upon the most complete, in-depth Machine Learning course online.
Whether you want to:
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Who this course is for:
Anyone interested in Machine Learning
Any people who have been trying to learn Machine Learning but: 1) still don’t really understand it, or 2) still don’t feel confident to take a job interview
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Requirements
No data science experience is necessary to take this course.
Any computer and OS will work — Windows, macOS or Linux. We will set up your code environment in the course.
Last Updated 1/2023
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 3.9 GB | freecoursewb | 2 weeks | 5 | 17 | |
| 3.7 GB | freecoursewb | 2 weeks | 5 | 7 | |
| 3.8 GB | freecoursewb | 2 weeks | 9 | 6 | |
| 3.7 GB | freecoursewb | 2 weeks | 12 | 10 | |
| 2.8 GB | freecoursewb | 2 weeks | 5 | 7 |
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