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FreeTutorials Us cluster analysis unsupervised machine learning python

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[FreeTutorials.Us] cluster-analysis-unsupervised-machine-learning-python

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325.9 MB

Total Files

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/01 Introduction to Unsupervised Learning/

001 Introduction and Outline.mp4

4.3 MB

002 What is unsupervised learning used for.mp4

7.9 MB

003 Why Use Clustering.mp4

7.0 MB

004 How to Succeed in this Course.mp4

9.2 MB

/02 K-Means Clustering/

005 Visual Walkthrough of the K-Means Clustering Algorithm.mp4

5.1 MB

006 Soft K-Means.mp4

4.4 MB

007 The K-Means Objective Function.mp4

3.2 MB

008 Soft K-Means in Python Code.mp4

31.7 MB

009 Visualizing Each Step of K-Means.mp4

5.5 MB

010 Examples of where K-Means can fail.mp4

17.8 MB

011 Disadvantages of K-Means Clustering.mp4

4.1 MB

012 How to Evaluate a Clustering Purity Davies-Bouldin Index.mp4

11.9 MB

013 Using K-Means on Real Data MNIST.mp4

11.2 MB

014 One Way to Choose K.mp4

9.5 MB

015 K-Means Application Finding Clusters of Related Words.mp4

27.2 MB

/03 Hierarchical Clustering/

016 Visual Walkthrough of Agglomerative Hierarchical Clustering.mp4

4.6 MB

017 Agglomerative Clustering Options.mp4

6.5 MB

018 Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4

12.4 MB

/04 Gaussian Mixture Models GMMs/

019 Description of the Gaussian Mixture Model and How to Train a GMM.mp4

5.5 MB

020 Comparison between GMM and K-Means.mp4

3.1 MB

021 Write a Gaussian Mixture Model in Python Code.mp4

31.6 MB

022 Practical Issues with GMM Singular Covariance.mp4

5.2 MB

023 Kernel Density Estimation.mp4

3.9 MB

024 Expectation-Maximization.mp4

3.7 MB

025 Future Unsupervised Learning Algorithms You Will Learn.mp4

2.0 MB

/05 Appendix/

026 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4

46.0 MB

027 How to Code by Yourself part 1.mp4

25.7 MB

028 How to Code by Yourself part 2.mp4

15.5 MB

/

[FreeTutorials.Us].txt

0.1 KB

Freetutorials.Us.url

0.1 KB

 

Total files 30


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