Download Udemy - Cluster Analysis and Unsupervised Machine Learning in Python [Desire Course] Torrent

Udemy - Cluster Analysis and Unsupervised Machine Learning in Python [Desire Course]

1. Introduction to Unsupervised Learning

1. Introduction and Outline.mp4	MP4	4.11 MB
1. Introduction and Outline.vtt	VTT	3.18 KB
2. What is unsupervised learning used for.mp4	MP4	7.58 MB
2. What is unsupervised learning used for.vtt	VTT	5.3 KB
3. Why Use Clustering.mp4	MP4	6.64 MB
3. Why Use Clustering.vtt	VTT	5.2 KB
4. How to Succeed in this Course.mp4	MP4	3.3 MB
4. How to Succeed in this Course.vtt	VTT	3.49 KB

2. K-Means Clustering

1. An Easy Introduction to K-Means Clustering.mp4	MP4	12.56 MB
1. An Easy Introduction to K-Means Clustering.vtt	VTT	8.29 KB
10. Using K-Means on Real Data MNIST.mp4	MP4	10.71 MB
10. Using K-Means on Real Data MNIST.vtt	VTT	6.28 KB
11. One Way to Choose K.mp4	MP4	9.08 MB
11. One Way to Choose K.vtt	VTT	4.46 KB
12. K-Means Application Finding Clusters of Related Words.mp4	MP4	25.99 MB
12. K-Means Application Finding Clusters of Related Words.vtt	VTT	7.37 KB
2. Visual Walkthrough of the K-Means Clustering Algorithm.mp4	MP4	4.87 MB
2. Visual Walkthrough of the K-Means Clustering Algorithm.vtt	VTT	3.3 KB
3. Soft K-Means.mp4	MP4	25.25 MB
3. Soft K-Means.vtt	VTT	6.16 KB
4. The K-Means Objective Function.mp4	MP4	3.02 MB
4. The K-Means Objective Function.vtt	VTT	1.88 KB
5. Soft K-Means in Python Code.mp4	MP4	30.21 MB
5. Soft K-Means in Python Code.vtt	VTT	6.91 KB
6. Visualizing Each Step of K-Means.mp4	MP4	5.26 MB
6. Visualizing Each Step of K-Means.vtt	VTT	2.4 KB
7. Examples of where K-Means can fail.mp4	MP4	17 MB
7. Examples of where K-Means can fail.vtt	VTT	4.46 KB
8. Disadvantages of K-Means Clustering.mp4	MP4	3.87 MB
8. Disadvantages of K-Means Clustering.vtt	VTT	2.96 KB
9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4	MP4	11.39 MB
9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).vtt	VTT	8.11 KB

3. Hierarchical Clustering

1. Visual Walkthrough of Agglomerative Hierarchical Clustering.mp4	MP4	4.4 MB
1. Visual Walkthrough of Agglomerative Hierarchical Clustering.vtt	VTT	3.16 KB
2. Agglomerative Clustering Options.mp4	MP4	6.23 MB
2. Agglomerative Clustering Options.vtt	VTT	4.89 KB
3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4	MP4	11.86 MB
3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.vtt	VTT	3.9 KB
4. Application Evolution.mp4	MP4	26.4 MB
4. Application Evolution.vtt	VTT	14.31 KB
5. Application Donald Trump vs. Hillary Clinton Tweets.mp4	MP4	35.28 MB
5. Application Donald Trump vs. Hillary Clinton Tweets.vtt	VTT	16.9 KB

4. Gaussian Mixture Models (GMMs)

1. Description of the Gaussian Mixture Model and How to Train a GMM.mp4	MP4	5.23 MB
1. Description of the Gaussian Mixture Model and How to Train a GMM.vtt	VTT	3.34 KB
2. Comparison between GMM and K-Means.mp4	MP4	3 MB
2. Comparison between GMM and K-Means.vtt	VTT	2.02 KB
3. Write a Gaussian Mixture Model in Python Code.mp4	MP4	30.12 MB
3. Write a Gaussian Mixture Model in Python Code.vtt	VTT	6.86 KB
4. Practical Issues with GMM Singular Covariance.mp4	MP4	4.96 MB
4. Practical Issues with GMM Singular Covariance.vtt	VTT	3.59 KB
5. Kernel Density Estimation.mp4	MP4	3.71 MB
5. Kernel Density Estimation.vtt	VTT	2.9 KB
6. Expectation-Maximization.mp4	MP4	3.5 MB
6. Expectation-Maximization.vtt	VTT	2.42 KB
7. Future Unsupervised Learning Algorithms You Will Learn.mp4	MP4	1.95 MB
7. Future Unsupervised Learning Algorithms You Will Learn.vtt	VTT	1.28 KB

5. Appendix

1. What is the Appendix.mp4	MP4	5.45 MB
1. What is the Appendix.vtt	VTT	3.28 KB
10. What order should I take your courses in (part 1).mp4	MP4	29.33 MB
10. What order should I take your courses in (part 1).vtt	VTT	14.09 KB
11. What order should I take your courses in (part 2).mp4	MP4	37.63 MB
11. What order should I take your courses in (part 2).vtt	VTT	20.24 KB
2. Windows-Focused Environment Setup 2018.mp4	MP4	186.31 MB
2. Windows-Focused Environment Setup 2018.vtt	VTT	17.39 KB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	MP4	43.92 MB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt	VTT	12.4 KB
4. How to Code by Yourself (part 1).mp4	MP4	24.53 MB
4. How to Code by Yourself (part 1).vtt	VTT	19.78 KB
5. How to Code by Yourself (part 2).mp4	MP4	14.81 MB
5. How to Code by Yourself (part 2).vtt	VTT	11.62 KB
6. How to Succeed in this Course (Long Version).mp4	MP4	18.31 MB
6. How to Succeed in this Course (Long Version).vtt	VTT	12.79 KB
7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	MP4	38.95 MB
7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	VTT	27.77 KB
8. Proof that using Jupyter Notebook is the same as not using it.mp4	MP4	78.29 MB
8. Proof that using Jupyter Notebook is the same as not using it.vtt	VTT	78.3 MB
9. Python 2 vs Python 3.mp4	MP4	7.84 MB
9. Python 2 vs Python 3.vtt	VTT	5.35 KB

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Udemy - Cluster Analysis and Unsupervised Machine Learning in Python [Desire Course]

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