Master Clustering Analysis for Data Science using Python [UdemyLibrary.com]

1. 7. Applications of Clustering/6. Classification using clustering.mp4 135.04 MB
2. 6. HDBSCAN Clustering/5. HDBSCAN for handling noise.mp4 94.96 MB
3. 3. Mean Shift Clustering/5. Mean Shift Performance in Cases where Kmean Fails (Part 2).mp4 91.83 MB
4. 2. KMeans Clustering/5. KMeans in Python (Part 1).mp4 88.87 MB
5. 4. DBSCAN Clustering/5. DBSCAN on clusters with different shapes and densities.mp4 81.62 MB
6. 4. DBSCAN Clustering/3. DBSCAN in python.mp4 80.02 MB
7. 7. Applications of Clustering/3. Image Compression (Part 2).mp4 79.29 MB
8. 2. KMeans Clustering/8. KMeans Limitations - (Part-2-Clusters with non spherical shapes).mp4 76.03 MB
9. 3. Mean Shift Clustering/4. Mean Shift Performance in Cases where Kmean Fails (Part 1).mp4 68.73 MB
10. 2. KMeans Clustering/7. KMeans Limitations - (Part 1-Clusters with different sizes).mp4 68.41 MB
11. 5. Hierarchical Clustering/4. Hierachical Clustering in python.mp4 64.68 MB
12. 6. HDBSCAN Clustering/2. Intuition of HDBSCAN.mp4 64.63 MB
13. 3. Mean Shift Clustering/3. Mean Shift in Python.mp4 64.15 MB
14. 2. KMeans Clustering/4. Choosing the right number of clusters.mp4 61.02 MB
15. 7. Applications of Clustering/4. Clustering Sentences (Part 1).mp4 58.36 MB
16. 6. HDBSCAN Clustering/3. HDBSCAN in Python.mp4 58.16 MB
17. 7. Applications of Clustering/2. Image Compression (Part 1).mp4 55.26 MB
18. 5. Hierarchical Clustering/3. Hierarchical Clustering Intuition (Part 2).mp4 53.39 MB
19. 7. Applications of Clustering/5. Clustering Sentences (Part 2).mp4 52.87 MB
20. 2. KMeans Clustering/6. KMeans in Python (Part 2).mp4 51.21 MB
21. 6. HDBSCAN Clustering/4. HDBSCAN clustering on different sizes, shapes and densities.mp4 44.38 MB
22. 4. DBSCAN Clustering/4. DBSCAN on clusters with varying sizes.mp4 44.05 MB
23. 5. Hierarchical Clustering/2. Hierarchical Clustering Intuition (Part 1).mp4 38.09 MB
24. 2. KMeans Clustering/2. KMeans intuition.mp4 33.30 MB
25. 2. KMeans Clustering/9. KMeans Limitations - (Part 3-Clusters with varying densities).mp4 33.03 MB
26. 4. DBSCAN Clustering/2. Intuition of DBSCAN.mp4 31.29 MB
27. 3. Mean Shift Clustering/2. Intuition of Mean Shift.mp4 25.03 MB
28. 1. Introduction to the Course/1. Introduction.mp4 16.72 MB
29. 2. KMeans Clustering/3. Tell us about the course.mp4 12.75 MB
30. 4. DBSCAN Clustering/1.1 Code and Data.zip 566 KB
31. 6. HDBSCAN Clustering/1.1 Code and Data.zip 566 KB
32. 7. Applications of Clustering/1.1 Code and Data.zip 257 KB
33. 3. Mean Shift Clustering/1.1 Code and Data.zip 180 KB
34. 2. KMeans Clustering/1.1 Code and Data.zip 180 KB
35. 5. Hierarchical Clustering/1.1 Code and Data.zip 48 KB
36. 7. Applications of Clustering/6. Classification using clustering.srt 31 KB
37. 6. HDBSCAN Clustering/2. Intuition of HDBSCAN.srt 24 KB
38. 2. KMeans Clustering/5. KMeans in Python (Part 1).srt 23 KB
39. 5. Hierarchical Clustering/3. Hierarchical Clustering Intuition (Part 2).srt 21 KB
40. 2. KMeans Clustering/4. Choosing the right number of clusters.srt 19 KB
41. 6. HDBSCAN Clustering/5. HDBSCAN for handling noise.srt 17 KB
42. 4. DBSCAN Clustering/3. DBSCAN in python.srt 16 KB
43. 2. KMeans Clustering/2. KMeans intuition.srt 16 KB
44. 3. Mean Shift Clustering/5. Mean Shift Performance in Cases where Kmean Fails (Part 2).srt 15 KB
45. 7. Applications of Clustering/2. Image Compression (Part 1).srt 15 KB
46. 4. DBSCAN Clustering/5. DBSCAN on clusters with different shapes and densities.srt 14 KB
47. 5. Hierarchical Clustering/4. Hierachical Clustering in python.srt 14 KB
48. 7. Applications of Clustering/4. Clustering Sentences (Part 1).srt 14 KB
49. 7. Applications of Clustering/3. Image Compression (Part 2).srt 13 KB
50. 2. KMeans Clustering/8. KMeans Limitations - (Part-2-Clusters with non spherical shapes).srt 13 KB