Linkedin Learning Machine Learning With Python-K-Means Clustering

磁力链接/BT种子名称

Linkedin Learning Machine Learning With Python-K-Means Clustering

磁力链接/BT种子简介

种子哈希：8dbb634d287336288a0c7a98802388c17a75885e
文件大小：164.08M
已经下载：1015次
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收录时间：2024-08-24
最近下载：2024-11-11

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文件列表

  • 3. Segmenting Data with K-Means Clustering/1. How to segment data with k-means clustering in Python.mp4 31.2 MB
  • 2. Understanding K-Means Clustering/3. Choosing the right number of clusters.mp4 26.6 MB
  • 3. Segmenting Data with K-Means Clustering/4. How to interpret the results of k-means clustering in Python.mp4 18.9 MB
  • 3. Segmenting Data with K-Means Clustering/3. How to find the right number of clusters in Python.mp4 18.3 MB
  • 2. Understanding K-Means Clustering/1. What is clustering.mp4 16.9 MB
  • 3. Segmenting Data with K-Means Clustering/2. How to evaluate and visualize clusters in Python.mp4 14.2 MB
  • 2. Understanding K-Means Clustering/2. What is k-means clustering.mp4 11.0 MB
  • 2. Understanding K-Means Clustering/4. Why and when to use k-means clustering.mp4 9.4 MB
  • 1. Introduction/4. Using the exercise files.mp4 6.2 MB
  • 4. Conclusion/1. Next steps.mp4 4.7 MB
  • 1. Introduction/1. Getting started with Python and k-means clustering.mp4 4.0 MB
  • 1. Introduction/2. What you should know.mp4 3.9 MB
  • 1. Introduction/2. What you should know_1.mp4 3.3 MB
  • 1. Introduction/3. The tools you need.mp4 3.2 MB
  • Exercise Files/02/02e.ipynb 15.6 kB
  • Exercise Files/02/02b.ipynb 15.2 kB
  • 2. Understanding K-Means Clustering/3. Choosing the right number of clusters.srt 11.9 kB
  • 3. Segmenting Data with K-Means Clustering/1. How to segment data with k-means clustering in Python.srt 11.4 kB
  • 3. Segmenting Data with K-Means Clustering/4. How to interpret the results of k-means clustering in Python.srt 7.7 kB
  • 2. Understanding K-Means Clustering/1. What is clustering.srt 7.5 kB
  • 3. Segmenting Data with K-Means Clustering/3. How to find the right number of clusters in Python.srt 7.2 kB
  • 2. Understanding K-Means Clustering/2. What is k-means clustering.srt 5.6 kB
  • 3. Segmenting Data with K-Means Clustering/2. How to evaluate and visualize clusters in Python.srt 5.3 kB
  • Exercise Files/02/mallcustomers.csv 4.6 kB
  • 2. Understanding K-Means Clustering/4. Why and when to use k-means clustering.srt 3.6 kB
  • 4. Conclusion/1. Next steps.srt 2.6 kB
  • 1. Introduction/4. Using the exercise files.srt 2.5 kB
  • 1. Introduction/3. The tools you need.srt 1.9 kB
  • 1. Introduction/2. What you should know.srt 1.8 kB
  • 1. Introduction/2. What you should know_1.srt 1.8 kB
  • 1. Introduction/1. Getting started with Python and k-means clustering.srt 1.3 kB

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