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

磁力链接/BT种子名称

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

磁力链接/BT种子简介

种子哈希：d3d3559feb3e8f921ec6b619df3ccad0382628bb
文件大小： 1.65G
已经下载：1926次
下载速度：极快
收录时间：2021-03-16
最近下载：2024-12-10

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文件列表

  • 7. Applications of Clustering/6. Classification using clustering.mp4 138.3 MB
  • 6. HDBSCAN Clustering/5. HDBSCAN for handling noise.mp4 97.2 MB
  • 3. Mean Shift Clustering/5. Mean Shift Performance in Cases where Kmean Fails (Part 2).mp4 94.0 MB
  • 2. KMeans Clustering/5. KMeans in Python (Part 1).mp4 91.0 MB
  • 4. DBSCAN Clustering/5. DBSCAN on clusters with different shapes and densities.mp4 83.6 MB
  • 4. DBSCAN Clustering/3. DBSCAN in python.mp4 81.9 MB
  • 7. Applications of Clustering/3. Image Compression (Part 2).mp4 81.2 MB
  • 2. KMeans Clustering/8. KMeans Limitations - (Part-2-Clusters with non spherical shapes).mp4 77.9 MB
  • 3. Mean Shift Clustering/4. Mean Shift Performance in Cases where Kmean Fails (Part 1).mp4 70.4 MB
  • 2. KMeans Clustering/7. KMeans Limitations - (Part 1-Clusters with different sizes).mp4 70.1 MB
  • 5. Hierarchical Clustering/4. Hierachical Clustering in python.mp4 66.2 MB
  • 6. HDBSCAN Clustering/2. Intuition of HDBSCAN.mp4 66.2 MB
  • 3. Mean Shift Clustering/3. Mean Shift in Python.mp4 65.7 MB
  • 2. KMeans Clustering/4. Choosing the right number of clusters.mp4 62.5 MB
  • 7. Applications of Clustering/4. Clustering Sentences (Part 1).mp4 59.8 MB
  • 6. HDBSCAN Clustering/3. HDBSCAN in Python.mp4 59.6 MB
  • 7. Applications of Clustering/2. Image Compression (Part 1).mp4 56.6 MB
  • 5. Hierarchical Clustering/3. Hierarchical Clustering Intuition (Part 2).mp4 54.7 MB
  • 7. Applications of Clustering/5. Clustering Sentences (Part 2).mp4 54.1 MB
  • 2. KMeans Clustering/6. KMeans in Python (Part 2).mp4 52.4 MB
  • 6. HDBSCAN Clustering/4. HDBSCAN clustering on different sizes, shapes and densities.mp4 45.4 MB
  • 4. DBSCAN Clustering/4. DBSCAN on clusters with varying sizes.mp4 45.1 MB
  • 5. Hierarchical Clustering/2. Hierarchical Clustering Intuition (Part 1).mp4 39.0 MB
  • 2. KMeans Clustering/2. KMeans intuition.mp4 34.1 MB
  • 2. KMeans Clustering/9. KMeans Limitations - (Part 3-Clusters with varying densities).mp4 33.8 MB
  • 4. DBSCAN Clustering/2. Intuition of DBSCAN.mp4 32.0 MB
  • 3. Mean Shift Clustering/2. Intuition of Mean Shift.mp4 25.6 MB
  • 1. Introduction to the Course/1. Introduction.mp4 17.1 MB
  • 2. KMeans Clustering/3. Tell us about the course.mp4 13.1 MB
  • 4. DBSCAN Clustering/1.1 Code and Data.zip 566.5 kB
  • 6. HDBSCAN Clustering/1.1 Code and Data.zip 566.3 kB
  • 7. Applications of Clustering/1.1 Code and Data.zip 257.4 kB
  • 3. Mean Shift Clustering/1.1 Code and Data.zip 180.4 kB
  • 2. KMeans Clustering/1.1 Code and Data.zip 180.1 kB
  • 5. Hierarchical Clustering/1.1 Code and Data.zip 48.8 kB
  • 7. Applications of Clustering/6. Classification using clustering.srt 31.4 kB
  • 6. HDBSCAN Clustering/2. Intuition of HDBSCAN.srt 25.0 kB
  • 2. KMeans Clustering/5. KMeans in Python (Part 1).srt 23.5 kB
  • 5. Hierarchical Clustering/3. Hierarchical Clustering Intuition (Part 2).srt 21.1 kB
  • 2. KMeans Clustering/4. Choosing the right number of clusters.srt 19.9 kB
  • 6. HDBSCAN Clustering/5. HDBSCAN for handling noise.srt 17.8 kB
  • 4. DBSCAN Clustering/3. DBSCAN in python.srt 16.1 kB
  • 2. KMeans Clustering/2. KMeans intuition.srt 16.0 kB
  • 3. Mean Shift Clustering/5. Mean Shift Performance in Cases where Kmean Fails (Part 2).srt 15.3 kB
  • 7. Applications of Clustering/2. Image Compression (Part 1).srt 15.2 kB
  • 4. DBSCAN Clustering/5. DBSCAN on clusters with different shapes and densities.srt 14.7 kB
  • 5. Hierarchical Clustering/4. Hierachical Clustering in python.srt 14.4 kB
  • 7. Applications of Clustering/4. Clustering Sentences (Part 1).srt 14.1 kB
  • 7. Applications of Clustering/3. Image Compression (Part 2).srt 13.9 kB
  • 2. KMeans Clustering/8. KMeans Limitations - (Part-2-Clusters with non spherical shapes).srt 13.7 kB
  • 5. Hierarchical Clustering/2. Hierarchical Clustering Intuition (Part 1).srt 13.5 kB
  • 2. KMeans Clustering/7. KMeans Limitations - (Part 1-Clusters with different sizes).srt 13.1 kB
  • 2. KMeans Clustering/6. KMeans in Python (Part 2).srt 12.4 kB
  • 3. Mean Shift Clustering/2. Intuition of Mean Shift.srt 12.2 kB
  • 6. HDBSCAN Clustering/3. HDBSCAN in Python.srt 12.0 kB
  • 4. DBSCAN Clustering/2. Intuition of DBSCAN.srt 11.9 kB
  • 3. Mean Shift Clustering/3. Mean Shift in Python.srt 11.7 kB
  • 3. Mean Shift Clustering/4. Mean Shift Performance in Cases where Kmean Fails (Part 1).srt 11.5 kB
  • 7. Applications of Clustering/5. Clustering Sentences (Part 2).srt 11.4 kB
  • 6. HDBSCAN Clustering/4. HDBSCAN clustering on different sizes, shapes and densities.srt 8.8 kB
  • 4. DBSCAN Clustering/4. DBSCAN on clusters with varying sizes.srt 8.0 kB
  • 2. KMeans Clustering/9. KMeans Limitations - (Part 3-Clusters with varying densities).srt 6.8 kB
  • 1. Introduction to the Course/1. Introduction.srt 5.6 kB
  • 2. KMeans Clustering/3. Tell us about the course.srt 3.7 kB
  • [UdemyLibrary.com] Join for free courses and tutorials.txt 246 Bytes
  • 2. KMeans Clustering/1. Code and Data.html 121 Bytes
  • 3. Mean Shift Clustering/1. Code and Data.html 121 Bytes
  • 4. DBSCAN Clustering/1. Code and Data.html 121 Bytes
  • 5. Hierarchical Clustering/1. Code and Data.html 121 Bytes
  • 6. HDBSCAN Clustering/1. Code and Data.html 121 Bytes
  • 7. Applications of Clustering/1. Code and Data.html 121 Bytes

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