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Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (11.2023)

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File Name
Size
01 - Introduction to Unsupervised Learning/001 Introduction.mp4
46 MB
01 - Introduction to Unsupervised Learning/001 Introduction.srt
6.9 kB
01 - Introduction to Unsupervised Learning/002 Course Outline.mp4
8.7 MB
01 - Introduction to Unsupervised Learning/002 Course Outline.srt
6.0 kB
01 - Introduction to Unsupervised Learning/003 What is unsupervised learning used for.mp4
29 MB
01 - Introduction to Unsupervised Learning/003 What is unsupervised learning used for.srt
7.2 kB
01 - Introduction to Unsupervised Learning/004 Why Use Clustering.mp4
55 MB
01 - Introduction to Unsupervised Learning/004 Why Use Clustering.srt
12 kB
01 - Introduction to Unsupervised Learning/005 Github-Link.url
83 B
01 - Introduction to Unsupervised Learning/005 Where to get the code.mp4
9.4 MB
01 - Introduction to Unsupervised Learning/005 Where to get the code.srt
6.3 kB
01 - Introduction to Unsupervised Learning/006 How to Succeed in this Course.mp4
16 MB
01 - Introduction to Unsupervised Learning/006 How to Succeed in this Course.srt
4.4 kB
01 - Introduction to Unsupervised Learning/external-links.txt
80 B
02 - K-Means Clustering/001 An Easy Introduction to K-Means Clustering.mp4
16 MB
02 - K-Means Clustering/001 An Easy Introduction to K-Means Clustering.srt
9.4 kB
02 - K-Means Clustering/002 Hard K-Means Exercise Prompt 1.mp4
24 MB
02 - K-Means Clustering/002 Hard K-Means Exercise Prompt 1.srt
12 kB
02 - K-Means Clustering/003 Hard K-Means Exercise 1 Solution.mp4
30 MB
02 - K-Means Clustering/003 Hard K-Means Exercise 1 Solution.srt
14 kB
02 - K-Means Clustering/004 Hard K-Means Exercise Prompt 2.mp4
9.3 MB
02 - K-Means Clustering/004 Hard K-Means Exercise Prompt 2.srt
6.1 kB
02 - K-Means Clustering/005 Hard K-Means Exercise 2 Solution.mp4
15 MB
02 - K-Means Clustering/005 Hard K-Means Exercise 2 Solution.srt
8.4 kB
02 - K-Means Clustering/006 Hard K-Means Exercise Prompt 3.mp4
16 MB
02 - K-Means Clustering/006 Hard K-Means Exercise Prompt 3.srt
8.7 kB
02 - K-Means Clustering/007 Hard K-Means Exercise 3 Solution.mp4
54 MB
02 - K-Means Clustering/007 Hard K-Means Exercise 3 Solution.srt
20 kB
02 - K-Means Clustering/008 Hard K-Means Objective Theory.mp4
26 MB
02 - K-Means Clustering/008 Hard K-Means Objective Theory.srt
17 kB
02 - K-Means Clustering/009 Hard K-Means Objective Code.mp4
21 MB
02 - K-Means Clustering/009 Hard K-Means Objective Code.srt
6.0 kB
02 - K-Means Clustering/010 Soft K-Means.mp4
10 MB
02 - K-Means Clustering/010 Soft K-Means.srt
7.0 kB
02 - K-Means Clustering/011 The Soft K-Means Objective Function.mp4
3.2 MB
02 - K-Means Clustering/011 The Soft K-Means Objective Function.srt
2.0 kB
02 - K-Means Clustering/012 Soft K-Means in Python Code.mp4
35 MB
02 - K-Means Clustering/012 Soft K-Means in Python Code.srt
7.5 kB
02 - K-Means Clustering/013 How to Pace Yourself.mp4
7.9 MB
02 - K-Means Clustering/013 How to Pace Yourself.srt
4.7 kB
02 - K-Means Clustering/014 Visualizing Each Step of K-Means.mp4
9.0 MB
02 - K-Means Clustering/014 Visualizing Each Step of K-Means.srt
2.6 kB
02 - K-Means Clustering/015 Examples of where K-Means can fail.mp4
25 MB
02 - K-Means Clustering/015 Examples of where K-Means can fail.srt
5.2 kB
02 - K-Means Clustering/016 Disadvantages of K-Means Clustering.mp4
4.5 MB
02 - K-Means Clustering/016 Disadvantages of K-Means Clustering.srt
3.2 kB
02 - K-Means Clustering/017 How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4
26 MB
02 - K-Means Clustering/017 How to Evaluate a Clustering (Purity, Davies-Bouldin Index).srt
8.7 kB
02 - K-Means Clustering/018 Using K-Means on Real Data MNIST.mp4
18 MB
02 - K-Means Clustering/018 Using K-Means on Real Data MNIST.srt
6.7 kB
02 - K-Means Clustering/019 One Way to Choose K.mp4
9.6 MB
02 - K-Means Clustering/019 One Way to Choose K.srt
5.1 kB
02 - K-Means Clustering/020 K-Means Application Finding Clusters of Related Words.mp4
64 MB
02 - K-Means Clustering/020 K-Means Application Finding Clusters of Related Words.srt
8.4 kB
02 - K-Means Clustering/021 Clustering for NLP and Computer Vision Real-World Applications.mp4
15 MB
02 - K-Means Clustering/021 Clustering for NLP and Computer Vision Real-World Applications.srt
9.1 kB
02 - K-Means Clustering/022 Suggestion Box.mp4
27 MB
02 - K-Means Clustering/022 Suggestion Box.srt
4.7 kB
03 - Hierarchical Clustering/001 Visual Walkthrough of Agglomerative Hierarchical Clustering.mp4
3.9 MB
03 - Hierarchical Clustering/001 Visual Walkthrough of Agglomerative Hierarchical Clustering.srt
3.4 kB
03 - Hierarchical Clustering/002 Agglomerative Clustering Options.mp4
5.5 MB
03 - Hierarchical Clustering/002 Agglomerative Clustering Options.srt
5.2 kB
03 - Hierarchical Clustering/003 Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4
10 MB
03 - Hierarchical Clustering/003 Using Hierarchical Clustering in Python and Interpreting the Dendrogram.srt
4.2 kB
03 - Hierarchical Clustering/004 Application Evolution.mp4
41 MB
03 - Hierarchical Clustering/004 Application Evolution.srt
16 kB
03 - Hierarchical Clustering/005 Application Donald Trump vs. Hillary Clinton Tweets.mp4
41 MB
03 - Hierarchical Clustering/005 Application Donald Trump vs. Hillary Clinton Tweets.srt
19 kB
04 - Gaussian Mixture Models (GMMs)/001 Gaussian Mixture Model (GMM) Algorithm.mp4
28 MB
04 - Gaussian Mixture Models (GMMs)/001 Gaussian Mixture Model (GMM) Algorithm.srt
20 kB
04 - Gaussian Mixture Models (GMMs)/002 Write a Gaussian Mixture Model in Python Code.mp4
107 MB
04 - Gaussian Mixture Models (GMMs)/002 Write a Gaussian Mixture Model in Python Code.srt
25 kB
04 - Gaussian Mixture Models (GMMs)/003 Practical Issues with GMM Singular Covariance.mp4
19 MB
04 - Gaussian Mixture Models (GMMs)/003 Practical Issues with GMM Singular Covariance.srt
12 kB
04 - Gaussian Mixture Models (GMMs)/004 Comparison between GMM and K-Means.mp4
8.0 MB
04 - Gaussian Mixture Models (GMMs)/004 Comparison between GMM and K-Means.srt
5.0 kB
04 - Gaussian Mixture Models (GMMs)/005 Kernel Density Estimation.mp4
13 MB
04 - Gaussian Mixture Models (GMMs)/005 Kernel Density Estimation.srt
8.4 kB
04 - Gaussian Mixture Models (GMMs)/006 GMM vs Bayes Classifier (pt 1).mp4
17 MB
04 - Gaussian Mixture Models (GMMs)/006 GMM vs Bayes Classifier (pt 1).srt
12 kB
04 - Gaussian Mixture Models (GMMs)/007 GMM vs Bayes Classifier (pt 2).mp4
19 MB
04 - Gaussian Mixture Models (GMMs)/007 GMM vs Bayes Classifier (pt 2).srt
15 kB
04 - Gaussian Mixture Models (GMMs)/008 Expectation-Maximization (pt 1).mp4
21 MB
04 - Gaussian Mixture Models (GMMs)/008 Expectation-Maximization (pt 1).srt
15 kB
04 - Gaussian Mixture Models (GMMs)/009 Expectation-Maximization (pt 2).mp4
4.4 MB
04 - Gaussian Mixture Models (GMMs)/009 Expectation-Maximization (pt 2).srt
2.6 kB
04 - Gaussian Mixture Models (GMMs)/010 Expectation-Maximization (pt 3).mp4
13 MB
04 - Gaussian Mixture Models (GMMs)/010 Expectation-Maximization (pt 3).srt
10 kB
04 - Gaussian Mixture Models (GMMs)/011 Future Unsupervised Learning Algorithms You Will Learn.mp4
2.2 MB
04 - Gaussian Mixture Models (GMMs)/011 Future Unsupervised Learning Algorithms You Will Learn.srt
1.4 kB
05 - Setting Up Your Environment (FAQ by Student Request)/001 Pre-Installation Check.mp4
8.9 MB
05 - Setting Up Your Environment (FAQ by Student Request)/001 Pre-Installation Check.srt
6.6 kB
05 - Setting Up Your Environment (FAQ by Student Request)/002 Anaconda Environment Setup.mp4
168 MB
05 - Setting Up Your Environment (FAQ by Student Request)/002 Anaconda Environment Setup.srt
20 kB
05 - Setting Up Your Environment (FAQ by Student Request)/003 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
75 MB
05 - Setting Up Your Environment (FAQ by Student Request)/003 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
14 kB
06 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).mp4
56 MB
06 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).srt
23 kB
06 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/002 How to Code by Yourself (part 2).mp4
21 MB
06 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/002 How to Code by Yourself (part 2).srt
13 kB
06 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/003 Proof that using Jupyter Notebook is the same as not using it.mp4
64 MB
06 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/003 Proof that using Jupyter Notebook is the same as not using it.srt
14 kB
06 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/004 Python 2 vs Python 3.mp4
7.6 MB
06 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/004 Python 2 vs Python 3.srt
6.1 kB
07 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/001 How to Succeed in this Course (Long Version).mp4
18 MB
07 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/001 How to Succeed in this Course (Long Version).srt
14 kB
07 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
42 MB
07 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
32 kB
07 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
76 MB
07 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).srt
16 kB
07 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
81 MB
07 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).srt
23 kB
08 - Appendix FAQ Finale/001 What is the Appendix.mp4
6.1 MB
08 - Appendix FAQ Finale/001 What is the Appendix.srt
3.7 kB
08 - Appendix FAQ Finale/002 BONUS.mp4
40 MB
08 - Appendix FAQ Finale/002 BONUS.srt
7.8 kB