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Linkedin Learning Machine Learning With Python-K-Means Clustering

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File size：164.08 MB
Time：2026-03-26
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Related ：LinkedinLearningMachineWithPython-K-MeansClustering

File list

  • 3. Segmenting Data with K-Means Clustering/1. How to segment data with k-means clustering in Python.mp4-29.77 MB
  • 2. Understanding K-Means Clustering/3. Choosing the right number of clusters.mp4-25.39 MB
  • 3. Segmenting Data with K-Means Clustering/4. How to interpret the results of k-means clustering in Python.mp4-17.98 MB
  • 3. Segmenting Data with K-Means Clustering/3. How to find the right number of clusters in Python.mp4-17.48 MB
  • 2. Understanding K-Means Clustering/1. What is clustering.mp4-16.11 MB
  • 3. Segmenting Data with K-Means Clustering/2. How to evaluate and visualize clusters in Python.mp4-13.57 MB
  • 2. Understanding K-Means Clustering/2. What is k-means clustering.mp4-10.52 MB
  • 2. Understanding K-Means Clustering/4. Why and when to use k-means clustering.mp4-9.01 MB
  • 1. Introduction/4. Using the exercise files.mp4-5.9 MB
  • 4. Conclusion/1. Next steps.mp4-4.44 MB
  • 1. Introduction/1. Getting started with Python and k-means clustering.mp4-3.85 MB
  • 1. Introduction/2. What you should know.mp4-3.73 MB
  • 1. Introduction/2. What you should know_1.mp4-3.16 MB
  • 1. Introduction/3. The tools you need.mp4-3.06 MB
  • Exercise Files/02/02e.ipynb-15.19 KB
  • Exercise Files/02/02b.ipynb-14.83 KB
  • 2. Understanding K-Means Clustering/3. Choosing the right number of clusters.srt-11.59 KB
  • 3. Segmenting Data with K-Means Clustering/1. How to segment data with k-means clustering in Python.srt-11.12 KB
  • 3. Segmenting Data with K-Means Clustering/4. How to interpret the results of k-means clustering in Python.srt-7.51 KB
  • 2. Understanding K-Means Clustering/1. What is clustering.srt-7.3 KB
  • 3. Segmenting Data with K-Means Clustering/3. How to find the right number of clusters in Python.srt-7.06 KB
  • 2. Understanding K-Means Clustering/2. What is k-means clustering.srt-5.43 KB
  • 3. Segmenting Data with K-Means Clustering/2. How to evaluate and visualize clusters in Python.srt-5.21 KB
  • Exercise Files/02/mallcustomers.csv-4.45 KB
  • 2. Understanding K-Means Clustering/4. Why and when to use k-means clustering.srt-3.56 KB
  • 4. Conclusion/1. Next steps.srt-2.53 KB
  • 1. Introduction/4. Using the exercise files.srt-2.42 KB
  • 1. Introduction/3. The tools you need.srt-1.82 KB
  • 1. Introduction/2. What you should know.srt-1.76 KB
  • 1. Introduction/2. What you should know_1.srt-1.76 KB
  • 1. Introduction/1. Getting started with Python and k-means clustering.srt-1.27 KB