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