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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
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收录时间:
2024-08-24
最近下载:
2025-10-05
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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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