|
|
0
|
|
33.3 KB
|
|
|
1. Section 1.1 Introduction.mp4
|
MP4
|
43.1 MB
|
|
|
1
|
|
17.6 KB
|
|
|
1. Section 10.1 Clustering Quality Metrics.mp4
|
MP4
|
112.9 MB
|
|
|
1. Section 11.1 Concluding Remarks and Thank You.mp4
|
MP4
|
44.6 MB
|
|
|
1. Section 12.1 Optional Lecture.mp4
|
MP4
|
7.9 MB
|
|
|
1. Section 2.0 Python Demos.mp4
|
MP4
|
11.4 MB
|
|
|
1. Section 3.0 Review of Mathematical Concepts.mp4
|
MP4
|
11.5 MB
|
|
|
1. Section 4.1 Hierarchical Clustering Algorithm.mp4
|
MP4
|
48.3 MB
|
|
|
1. Section 5.1 DBSCAN Algorithm.mp4
|
MP4
|
70.1 MB
|
|
|
1. Section 6.1 K Means Algorithm.mp4
|
MP4
|
87 MB
|
|
|
1. Section 7.1 Normal Distribution Probability Density Function.mp4
|
MP4
|
124.5 MB
|
|
|
1. Section 8.1 Metrics for Measuring Quality of Clustering.mp4
|
MP4
|
146.3 MB
|
|
|
1. Section 9.0 Dimension Reduction Overview.mp4
|
MP4
|
16.1 MB
|
|
|
1.1 Link to Introduction to Machine Learning course on Udemy.html
|
HTML
|
204.8 B
|
|
|
1.1 UnsupervisedML_GMM.pdf
|
PDF
|
285.6 KB
|
|
|
1.2 Link to What is Machine Learning free course on Udemy.html
|
HTML
|
102.4 B
|
|
|
10. Section 2.5 Pandas Demo.mp4
|
MP4
|
43.6 MB
|
|
|
10. Section 3.5 Mean, Variance, and Covariance.mp4
|
MP4
|
71.3 MB
|
|
|
11. Section 2.5 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
11. Section 3.5 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
11.1 UnsupervisedML_Exercises_Section2.5.pdf
|
PDF
|
150.2 KB
|
|
|
11.1 UnsupervisedML_Exercises_Section3.5.pdf
|
PDF
|
108.1 KB
|
|
|
12. Section 2.6 Sklearn Datasets Demo.mp4
|
MP4
|
40.3 MB
|
|
|
2. Section 1.2 About this Course.mp4
|
MP4
|
12.1 MB
|
|
|
2. Section 10.2 Clustering for Iris Flower Dataset.mp4
|
MP4
|
177.8 MB
|
|
|
2
|
|
7.7 KB
|
|
|
2. Section 2.1 Numpy Basic Demos.mp4
|
MP4
|
186.3 MB
|
|
|
2. Section 3.1 What is Data in Unsupervised Learning.mp4
|
MP4
|
100.8 MB
|
|
|
2. Section 4.1 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
2. Section 5.1 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
2. Section 6.1 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
2. Section 7.1 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
2. Section 8.1 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
2. Section 9.1 Principal Component Analysis Algorithm.mp4
|
MP4
|
141.2 MB
|
|
|
2.1 UnsupervisedML_Exercises_Section4.1.pdf
|
PDF
|
122.1 KB
|
|
|
2.1 UnsupervisedML_Exercises_Section5.1.pdf
|
PDF
|
51.4 KB
|
|
|
2.1 UnsupervisedML_Exercises_Section6.1.pdf
|
PDF
|
136 KB
|
|
|
2.1 UnsupervisedML_Exercises_Section7.1.pdf
|
PDF
|
145.4 KB
|
|
|
2.1 UnsupervisedML_Exercises_Section8.1.pdf
|
PDF
|
51.9 KB
|
|
|
3. Section 1.3 Course Resources and Set Up.mp4
|
MP4
|
98.6 MB
|
|
|
3. Section 10.2 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
3. Section 2.1 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
3
|
|
23.5 KB
|
|
|
3. Section 3.1 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
3. Section 4.2 Hierarchical Clustering Code Design.mp4
|
MP4
|
98.2 MB
|
|
|
3. Section 5.2 DBSCAN Code Design.mp4
|
MP4
|
41.8 MB
|
|
|
3. Section 6.2 K Means Code Design.mp4
|
MP4
|
82.7 MB
|
|
|
3. Section 7.2 Gaussian Mixture Model Algorithm.mp4
|
MP4
|
98 MB
|
|
|
3. Section 8.2 Comparison of Algorithms.mp4
|
MP4
|
114.7 MB
|
|
|
3. Section 9.1 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
3.1 UnsupervisedML_Exercises_Section10.2.pdf
|
PDF
|
37 KB
|
|
|
3.1 UnsupervisedML_Exercises_Section2.1.pdf
|
PDF
|
116.2 KB
|
|
|
3.1 UnsupervisedML_Exercises_Section3.1.pdf
|
PDF
|
195.4 KB
|
|
|
3.1 UnsupervisedML_Exercises_Section9.1.pdf
|
PDF
|
129.7 KB
|
|
|
3.1 UnsupervisedML_GMM.pdf
|
PDF
|
285.6 KB
|
|
|
3.1 UnsupervisedML_Resources.pdf
|
PDF
|
178.7 KB
|
|
|
3.2 Course Github site.html
|
HTML
|
102.4 B
|
|
|
4. Section 10.3 Clustering for MNIST Digits Dataset.mp4
|
MP4
|
125.7 MB
|
|
|
4. Section 2.2 Numpy Matrix Operations Demo.mp4
|
MP4
|
70.5 MB
|
|
|
4. Section 3.2 Computational Complexity.mp4
|
MP4
|
94.5 MB
|
|
|
4. Section 4.3 Hierarchical Clustering Code Walkthrough.mp4
|
MP4
|
236 MB
|
|
|
4. Section 5.3 DBSCAN Code Walkthrough.mp4
|
MP4
|
174.7 MB
|
|
|
4. Section 6.3 K Means Code Walkthrough.mp4
|
MP4
|
198.3 MB
|
|
|
4. Section 7.2 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
4. Section 9.2 Principal Component Analysis Code Design.mp4
|
MP4
|
22.7 MB
|
|
|
4
|
|
18.7 KB
|
|
|
4.1 UnsupervisedML_Exercises_Section7.2.pdf
|
PDF
|
142.6 KB
|
|
|
5. Section 3.2 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
5. Section 4.3 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
5
|
|
32.5 KB
|
|
|
5. Exercises for Section 10.3.mp4
|
MP4
|
3.2 MB
|
|
|
5. Section 2.2 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
5. Section 5.3 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
5. Section 6.3 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
5. Section 7.3 Gaussian Mixture Model Code Design.mp4
|
MP4
|
84 MB
|
|
|
5. Section 9.3 Principal Component Analysis Code Walkthrough.mp4
|
MP4
|
102.3 MB
|
|
|
5.1 UnsupervisedML_Exercises_Section10.3.pdf
|
PDF
|
72.3 KB
|
|
|
5.1 UnsupervisedML_Exercises_Section2.2.pdf
|
PDF
|
110 KB
|
|
|
5.1 UnsupervisedML_Exercises_Section3.2.pdf
|
PDF
|
114 KB
|
|
|
5.1 UnsupervisedML_Exercises_Section4.3.pdf
|
PDF
|
40.7 KB
|
|
|
5.1 UnsupervisedML_Exercises_Section5.3.pdf
|
PDF
|
40.5 KB
|
|
|
5.1 UnsupervisedML_Exercises_Section6.3.pdf
|
PDF
|
58.4 KB
|
|
|
6
|
|
7.3 KB
|
|
|
6. Section 10.4 Clustering for BBC Text Dataset.mp4
|
MP4
|
185.9 MB
|
|
|
6. Section 2.3 Matplotlib Basic Demo.mp4
|
MP4
|
71.4 MB
|
|
|
6. Section 3.3 Distance Measures.mp4
|
MP4
|
67 MB
|
|
|
6. Section 7.4 Gaussian Mixture Model Code Walkthrough.mp4
|
MP4
|
280.6 MB
|
|
|
6. Section 9.3 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
6.1 UnsupervisedML_Exercises_Section9.3.pdf
|
PDF
|
110.4 KB
|
|
|
7. Section 10.4 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
7. Section 2.3 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
7. Section 3.3 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
7
|
|
2.2 KB
|
|
|
7. Section 7.4 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
7. Section 9.4 PCA Applied to MNIST Digits Dataset.mp4
|
MP4
|
156.7 MB
|
|
|
7.1 UnsupervisedML_Exercises_Section10.4.pdf
|
PDF
|
58.5 KB
|
|
|
7.1 UnsupervisedML_Exercises_Section2.3.pdf
|
PDF
|
110.1 KB
|
|
|
7.1 UnsupervisedML_Exercises_Section3.3.pdf
|
PDF
|
112.9 KB
|
|
|
7.1 UnsupervisedML_Exercises_Section7.4.pdf
|
PDF
|
130.5 KB
|
|
|
8. Section 2.4 Matplotlib Cluster Plot and Animation Demo.mp4
|
MP4
|
161.9 MB
|
|
|
8. Section 3.4 Singular Value Decomposition.mp4
|
MP4
|
103.8 MB
|
|
|
8. Section 9.4 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
8.1 UnsupervisedML_Exercises_Section9.4.pdf
|
PDF
|
155 KB
|
|
|
9. Section 2.4 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
9. Section 3.4 Exercises.mp4
|
MP4
|
3.2 MB
|
|
|
9. Section 9.5 Autoencoders.mp4
|
MP4
|
35.8 MB
|
|
|
9.1 UnsupervisedML_Exercises_Section2.4.pdf
|
PDF
|
109.6 KB
|
|
|
9.1 UnsupervisedML_Exercises_Section3.4.pdf
|
PDF
|
113.3 KB
|
|
|
TutsNode.com.txt
|
TXT
|
102.4 B
|
|
|
8
|
|
409.6 B
|
|
|
9
|
|
17.5 KB
|
|
|
10
|
|
615.1 KB
|
|
|
11
|
|
281.2 KB
|
|
|
12
|
|
462.8 KB
|
|
|
13
|
|
290.4 KB
|
|
|
14
|
|
117 KB
|
|
|
15
|
|
202.6 KB
|
|
|
16
|
|
748.4 KB
|
|
|
17
|
|
224.9 KB
|
|
|
18
|
|
412.8 KB
|
|
|
19
|
|
813.3 KB
|
|
|
20
|
|
18 KB
|
|
|
21
|
|
524.3 KB
|
|
|
22
|
|
5.5 KB
|
|
|
23
|
|
44.7 KB
|
|
|
24
|
|
327.1 KB
|
|
|
25
|
|
571.6 KB
|
|
|
26
|
|
734.3 KB
|
|
|
27
|
|
561.4 KB
|
|
|
28
|
|
950.8 KB
|
|
|
29
|
|
981.5 KB
|
|
|
30
|
|
709 KB
|
|
|
31
|
|
365.4 KB
|
|
|
32
|
|
459.6 KB
|
|
|
33
|
|
910.9 KB
|
|
|
34
|
|
248.5 KB
|
|
|
35
|
|
665.8 KB
|
|
|
36
|
|
223 KB
|
|
|
37
|
|
310.7 KB
|
|
|
38
|
|
920.3 KB
|
|
|
39
|
|
904.3 KB
|
|
|
40
|
|
533.1 KB
|
|
|
41
|
|
634.5 KB
|
|
|
42
|
|
115.8 KB
|
|
|
43
|
|
841.2 KB
|
|
|
44
|
|
843.7 KB
|
|
|
45
|
|
845.7 KB
|
|
|
46
|
|
847.6 KB
|
|
|
47
|
|
848.6 KB
|
|
|
48
|
|
850 KB
|
|
|
49
|
|
850.6 KB
|
|
|
50
|
|
851 KB
|
|
|
51
|
|
851.4 KB
|
|
|
52
|
|
851.7 KB
|
|
|
53
|
|
851.9 KB
|
|
|
54
|
|
852.4 KB
|
|
|
55
|
|
852.5 KB
|
|
|
56
|
|
852.9 KB
|
|
|
57
|
|
853.8 KB
|
|
|
58
|
|
853.9 KB
|
|
|
59
|
|
854 KB
|
|
|
60
|
|
854.1 KB
|
|
|
61
|
|
854.9 KB
|
|
|
62
|
|
855 KB
|
|
|
63
|
|
855 KB
|
|
|
64
|
|
855.4 KB
|
|
|
65
|
|
857.2 KB
|
|
|
66
|
|
857.8 KB
|
|
|
67
|
|
858.8 KB
|
