Udemy - Master Clustering Analysis for Data Science using Python


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Udemy - Master Clustering Analysis for Data Science using Python
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Torrent File Content (71 files)


Master Clustering Analysis for Data Science using Python [UdemyLibrary.com]
    1. Introduction to the Course
          1. Introduction.mp4 -
16.33 MB

          1. Introduction.srt -
5.49 KB

    2. KMeans Clustering
          5. KMeans in Python (Part 1).mp4 -
86.79 MB

          8. KMeans Limitations - (Part-2-Clusters with non spherical shapes).mp4 -
74.25 MB

          7. KMeans Limitations - (Part 1-Clusters with different sizes).mp4 -
66.81 MB

          4. Choosing the right number of clusters.mp4 -
59.59 MB

          6. KMeans in Python (Part 2).mp4 -
50.01 MB

          2. KMeans intuition.mp4 -
32.52 MB

          9. KMeans Limitations - (Part 3-Clusters with varying densities).mp4 -
32.26 MB

          3. Tell us about the course.mp4 -
12.45 MB

          1.1 Code and Data.zip -
175.9 KB

          5. KMeans in Python (Part 1).srt -
22.91 KB

          4. Choosing the right number of clusters.srt -
19.43 KB

          2. KMeans intuition.srt -
15.65 KB

          8. KMeans Limitations - (Part-2-Clusters with non spherical shapes).srt -
13.42 KB

          7. KMeans Limitations - (Part 1-Clusters with different sizes).srt -
12.76 KB

          6. KMeans in Python (Part 2).srt -
12.08 KB

          9. KMeans Limitations - (Part 3-Clusters with varying densities).srt -
6.64 KB

          3. Tell us about the course.srt -
3.63 KB

          1. Code and Data.html -
121 bytes

    3. Mean Shift Clustering
          5. Mean Shift Performance in Cases where Kmean Fails (Part 2).mp4 -
89.68 MB

          4. Mean Shift Performance in Cases where Kmean Fails (Part 1).mp4 -
67.12 MB

          3. Mean Shift in Python.mp4 -
62.65 MB

          2. Intuition of Mean Shift.mp4 -
24.45 MB

          1.1 Code and Data.zip -
176.13 KB

          5. Mean Shift Performance in Cases where Kmean Fails (Part 2).srt -
14.98 KB

          2. Intuition of Mean Shift.srt -
11.89 KB

          3. Mean Shift in Python.srt -
11.43 KB

          4. Mean Shift Performance in Cases where Kmean Fails (Part 1).srt -
11.18 KB

          1. Code and Data.html -
121 bytes

    4. DBSCAN Clustering
          5. DBSCAN on clusters with different shapes and densities.mp4 -
79.7 MB

          3. DBSCAN in python.mp4 -
78.15 MB

          4. DBSCAN on clusters with varying sizes.mp4 -
43.01 MB

          2. Intuition of DBSCAN.mp4 -
30.56 MB

          1.1 Code and Data.zip -
553.23 KB

          3. DBSCAN in python.srt -
15.76 KB

          5. DBSCAN on clusters with different shapes and densities.srt -
14.37 KB

          2. Intuition of DBSCAN.srt -
11.62 KB

          4. DBSCAN on clusters with varying sizes.srt -
7.85 KB

          1. Code and Data.html -
121 bytes

    5. Hierarchical Clustering
          4. Hierachical Clustering in python.mp4 -
63.16 MB

          3. Hierarchical Clustering Intuition (Part 2).mp4 -
52.14 MB

          2. Hierarchical Clustering Intuition (Part 1).mp4 -
37.19 MB

          1.1 Code and Data.zip -
47.7 KB

          3. Hierarchical Clustering Intuition (Part 2).srt -
20.65 KB

          4. Hierachical Clustering in python.srt -
14.02 KB

          2. Hierarchical Clustering Intuition (Part 1).srt -
13.21 KB

          1. Code and Data.html -
121 bytes

    6. HDBSCAN Clustering
          5. HDBSCAN for handling noise.mp4 -
92.74 MB

          2. Intuition of HDBSCAN.mp4 -
63.12 MB



Description



Visit For More Courses and Tutorials  https://udemylibrary.com/



Udemy - Master Clustering Analysis for Data Science using Python



Learn to implement clustering algorithms using Python with practical examples and datasets

Source: Nouman Azam via Udemy
Release date: Last updated 8/2020
Video: h264, 1280×720
Audio: AAC, 44.1 KHz, 2 Ch
Language: English + .srt
Size: 1.3 GB
Duration: 5h 22m

covers, more info and reviews in suggested reading order:
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