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33.29Кб |
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17.63Кб |
| 1.1 Link to Introduction to Machine Learning course on Udemy.html |
158б |
| 1.1 UnsupervisedML_GMM.pdf |
285.62Кб |
| 1.2 Link to What is Machine Learning free course on Udemy.html |
137б |
| 1. Section 1.1 Introduction.mp4 |
43.11Мб |
| 1. Section 10.1 Clustering Quality Metrics.mp4 |
112.89Мб |
| 1. Section 11.1 Concluding Remarks and Thank You.mp4 |
44.64Мб |
| 1. Section 12.1 Optional Lecture.mp4 |
7.89Мб |
| 1. Section 2.0 Python Demos.mp4 |
11.38Мб |
| 1. Section 3.0 Review of Mathematical Concepts.mp4 |
11.48Мб |
| 1. Section 4.1 Hierarchical Clustering Algorithm.mp4 |
48.31Мб |
| 1. Section 5.1 DBSCAN Algorithm.mp4 |
70.07Мб |
| 1. Section 6.1 K Means Algorithm.mp4 |
86.99Мб |
| 1. Section 7.1 Normal Distribution Probability Density Function.mp4 |
124.55Мб |
| 1. Section 8.1 Metrics for Measuring Quality of Clustering.mp4 |
146.33Мб |
| 1. Section 9.0 Dimension Reduction Overview.mp4 |
16.10Мб |
| 10 |
615.11Кб |
| 10. Section 2.5 Pandas Demo.mp4 |
43.55Мб |
| 10. Section 3.5 Mean, Variance, and Covariance.mp4 |
71.28Мб |
| 11 |
281.22Кб |
| 11.1 UnsupervisedML_Exercises_Section2.5.pdf |
150.23Кб |
| 11.1 UnsupervisedML_Exercises_Section3.5.pdf |
108.14Кб |
| 11. Section 2.5 Exercises.mp4 |
3.17Мб |
| 11. Section 3.5 Exercises.mp4 |
3.18Мб |
| 12 |
462.82Кб |
| 12. Section 2.6 Sklearn Datasets Demo.mp4 |
40.35Мб |
| 13 |
290.40Кб |
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116.98Кб |
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202.62Кб |
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7.71Кб |
| 2.1 UnsupervisedML_Exercises_Section4.1.pdf |
122.13Кб |
| 2.1 UnsupervisedML_Exercises_Section5.1.pdf |
51.42Кб |
| 2.1 UnsupervisedML_Exercises_Section6.1.pdf |
135.96Кб |
| 2.1 UnsupervisedML_Exercises_Section7.1.pdf |
145.42Кб |
| 2.1 UnsupervisedML_Exercises_Section8.1.pdf |
51.90Кб |
| 2. Section 1.2 About this Course.mp4 |
12.12Мб |
| 2. Section 10.2 Clustering for Iris Flower Dataset.mp4 |
177.84Мб |
| 2. Section 2.1 Numpy Basic Demos.mp4 |
186.34Мб |
| 2. Section 3.1 What is Data in Unsupervised Learning.mp4 |
100.78Мб |
| 2. Section 4.1 Exercises.mp4 |
3.17Мб |
| 2. Section 5.1 Exercises.mp4 |
3.17Мб |
| 2. Section 6.1 Exercises.mp4 |
3.17Мб |
| 2. Section 7.1 Exercises.mp4 |
3.17Мб |
| 2. Section 8.1 Exercises.mp4 |
3.17Мб |
| 2. Section 9.1 Principal Component Analysis Algorithm.mp4 |
141.22Мб |
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| 3.1 UnsupervisedML_Exercises_Section10.2.pdf |
37.04Кб |
| 3.1 UnsupervisedML_Exercises_Section2.1.pdf |
116.23Кб |
| 3.1 UnsupervisedML_Exercises_Section3.1.pdf |
195.40Кб |
| 3.1 UnsupervisedML_Exercises_Section9.1.pdf |
129.66Кб |
| 3.1 UnsupervisedML_GMM.pdf |
285.62Кб |
| 3.1 UnsupervisedML_Resources.pdf |
178.66Кб |
| 3.2 Course Github site.html |
113б |
| 3. Section 1.3 Course Resources and Set Up.mp4 |
98.60Мб |
| 3. Section 10.2 Exercises.mp4 |
3.16Мб |
| 3. Section 2.1 Exercises.mp4 |
3.17Мб |
| 3. Section 3.1 Exercises.mp4 |
3.17Мб |
| 3. Section 4.2 Hierarchical Clustering Code Design.mp4 |
98.21Мб |
| 3. Section 5.2 DBSCAN Code Design.mp4 |
41.76Мб |
| 3. Section 6.2 K Means Code Design.mp4 |
82.68Мб |
| 3. Section 7.2 Gaussian Mixture Model Algorithm.mp4 |
97.98Мб |
| 3. Section 8.2 Comparison of Algorithms.mp4 |
114.72Мб |
| 3. Section 9.1 Exercises.mp4 |
3.16Мб |
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920.25Кб |
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| 4 |
18.68Кб |
| 4.1 UnsupervisedML_Exercises_Section7.2.pdf |
142.57Кб |
| 4. Section 10.3 Clustering for MNIST Digits Dataset.mp4 |
125.73Мб |
| 4. Section 2.2 Numpy Matrix Operations Demo.mp4 |
70.45Мб |
| 4. Section 3.2 Computational Complexity.mp4 |
94.49Мб |
| 4. Section 4.3 Hierarchical Clustering Code Walkthrough.mp4 |
235.98Мб |
| 4. Section 5.3 DBSCAN Code Walkthrough.mp4 |
174.74Мб |
| 4. Section 6.3 K Means Code Walkthrough.mp4 |
198.31Мб |
| 4. Section 7.2 Exercises.mp4 |
3.17Мб |
| 4. Section 9.2 Principal Component Analysis Code Design.mp4 |
22.70Мб |
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533.07Кб |
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115.76Кб |
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| 5 |
32.46Кб |
| 5.1 UnsupervisedML_Exercises_Section10.3.pdf |
72.34Кб |
| 5.1 UnsupervisedML_Exercises_Section2.2.pdf |
110.05Кб |
| 5.1 UnsupervisedML_Exercises_Section3.2.pdf |
113.99Кб |
| 5.1 UnsupervisedML_Exercises_Section4.3.pdf |
40.69Кб |
| 5.1 UnsupervisedML_Exercises_Section5.3.pdf |
40.51Кб |
| 5.1 UnsupervisedML_Exercises_Section6.3.pdf |
58.41Кб |
| 5. Exercises for Section 10.3.mp4 |
3.17Мб |
| 5. Section 2.2 Exercises.mp4 |
3.17Мб |
| 5. Section 3.2 Exercises.mp4 |
3.17Мб |
| 5. Section 4.3 Exercises.mp4 |
3.17Мб |
| 5. Section 5.3 Exercises.mp4 |
3.17Мб |
| 5. Section 6.3 Exercises.mp4 |
3.17Мб |
| 5. Section 7.3 Gaussian Mixture Model Code Design.mp4 |
83.96Мб |
| 5. Section 9.3 Principal Component Analysis Code Walkthrough.mp4 |
102.27Мб |
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7.29Кб |
| 6.1 UnsupervisedML_Exercises_Section9.3.pdf |
110.37Кб |
| 6. Section 10.4 Clustering for BBC Text Dataset.mp4 |
185.92Мб |
| 6. Section 2.3 Matplotlib Basic Demo.mp4 |
71.44Мб |
| 6. Section 3.3 Distance Measures.mp4 |
67.04Мб |
| 6. Section 7.4 Gaussian Mixture Model Code Walkthrough.mp4 |
280.62Мб |
| 6. Section 9.3 Exercises.mp4 |
3.16Мб |
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2.21Кб |
| 7.1 UnsupervisedML_Exercises_Section10.4.pdf |
58.53Кб |
| 7.1 UnsupervisedML_Exercises_Section2.3.pdf |
110.13Кб |
| 7.1 UnsupervisedML_Exercises_Section3.3.pdf |
112.91Кб |
| 7.1 UnsupervisedML_Exercises_Section7.4.pdf |
130.54Кб |
| 7. Section 10.4 Exercises.mp4 |
3.17Мб |
| 7. Section 2.3 Exercises.mp4 |
3.16Мб |
| 7. Section 3.3 Exercises.mp4 |
3.17Мб |
| 7. Section 7.4 Exercises.mp4 |
3.18Мб |
| 7. Section 9.4 PCA Applied to MNIST Digits Dataset.mp4 |
156.66Мб |
| 8 |
402б |
| 8.1 UnsupervisedML_Exercises_Section9.4.pdf |
155.04Кб |
| 8. Section 2.4 Matplotlib Cluster Plot and Animation Demo.mp4 |
161.90Мб |
| 8. Section 3.4 Singular Value Decomposition.mp4 |
103.80Мб |
| 8. Section 9.4 Exercises.mp4 |
3.17Мб |
| 9 |
17.50Кб |
| 9.1 UnsupervisedML_Exercises_Section2.4.pdf |
109.59Кб |
| 9.1 UnsupervisedML_Exercises_Section3.4.pdf |
113.31Кб |
| 9. Section 2.4 Exercises.mp4 |
3.16Мб |
| 9. Section 3.4 Exercises.mp4 |
3.17Мб |
| 9. Section 9.5 Autoencoders.mp4 |
35.78Мб |
| TutsNode.com.txt |
61б |