DesireCourse Net Udemy Cluster Analysis and Unsupervised Machine Learning in Python

DesireCourse Net Udemy Cluster Analysis and Unsupervised Machine Learning in Python

Name	[DesireCourse.Net] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python	DOWNLOAD Copy Link
Total Size	924.3 MB
Total Files	80
Last Seen	2024-11-14 23:48
Hash	D6DEF40031F087EF0911ECF51D1247DB300B31AA

/1. Introduction to Unsupervised Learning/
1. Introduction and Outline.mp4	4.3 MB
1. Introduction and Outline.vtt	3.3 KB
2. What is unsupervised learning used for.mp4	7.9 MB
2. What is unsupervised learning used for.vtt	5.4 KB
3. Why Use Clustering.mp4	7.0 MB
3. Why Use Clustering.vtt	5.3 KB
4. How to Succeed in this Course.mp4	3.5 MB
4. How to Succeed in this Course.vtt	3.6 KB
/2. K-Means Clustering/
1. An Easy Introduction to K-Means Clustering.mp4	13.2 MB
1. An Easy Introduction to K-Means Clustering.vtt	8.5 KB
10. Using K-Means on Real Data MNIST.mp4	11.2 MB
10. Using K-Means on Real Data MNIST.vtt	6.4 KB
11. One Way to Choose K.mp4	9.5 MB
11. One Way to Choose K.vtt	4.6 KB
12. K-Means Application Finding Clusters of Related Words.mp4	27.2 MB
12. K-Means Application Finding Clusters of Related Words.vtt	7.5 KB
2. Visual Walkthrough of the K-Means Clustering Algorithm.mp4	5.1 MB
2. Visual Walkthrough of the K-Means Clustering Algorithm.vtt	3.4 KB
3. Soft K-Means.mp4	26.5 MB
3. Soft K-Means.vtt	6.3 KB
4. The K-Means Objective Function.mp4	3.2 MB
4. The K-Means Objective Function.vtt	1.9 KB
5. Soft K-Means in Python Code.mp4	31.7 MB
5. Soft K-Means in Python Code.vtt	7.1 KB
6. Visualizing Each Step of K-Means.mp4	5.5 MB
6. Visualizing Each Step of K-Means.vtt	2.5 KB
7. Examples of where K-Means can fail.mp4	17.8 MB
7. Examples of where K-Means can fail.vtt	4.6 KB
8. Disadvantages of K-Means Clustering.mp4	4.1 MB
8. Disadvantages of K-Means Clustering.vtt	3.0 KB
9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4	11.9 MB
9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).vtt	8.3 KB
/3. Hierarchical Clustering/
1. Visual Walkthrough of Agglomerative Hierarchical Clustering.mp4	4.6 MB
1. Visual Walkthrough of Agglomerative Hierarchical Clustering.vtt	3.2 KB
2. Agglomerative Clustering Options.mp4	6.5 MB
2. Agglomerative Clustering Options.vtt	5.0 KB
3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4	12.4 MB
3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.vtt	4.0 KB
4. Application Evolution.mp4	27.7 MB
4. Application Evolution.vtt	14.7 KB
5. Application Donald Trump vs. Hillary Clinton Tweets.mp4	37.0 MB
5. Application Donald Trump vs. Hillary Clinton Tweets.vtt	17.3 KB
/4. Gaussian Mixture Models (GMMs)/
1. Description of the Gaussian Mixture Model and How to Train a GMM.mp4	5.5 MB
1. Description of the Gaussian Mixture Model and How to Train a GMM.vtt	3.4 KB
2. Comparison between GMM and K-Means.mp4	3.2 MB
2. Comparison between GMM and K-Means.vtt	2.1 KB
3. Write a Gaussian Mixture Model in Python Code.mp4	31.6 MB
3. Write a Gaussian Mixture Model in Python Code.vtt	7.0 KB
4. Practical Issues with GMM Singular Covariance.mp4	5.2 MB
4. Practical Issues with GMM Singular Covariance.vtt	3.7 KB
5. Kernel Density Estimation.mp4	3.9 MB
5. Kernel Density Estimation.vtt	3.0 KB
6. Expectation-Maximization.mp4	3.7 MB
6. Expectation-Maximization.vtt	2.5 KB
7. Future Unsupervised Learning Algorithms You Will Learn.mp4	2.0 MB
7. Future Unsupervised Learning Algorithms You Will Learn.vtt	1.3 KB
/5. Appendix/
1. What is the Appendix.mp4	5.7 MB
1. What is the Appendix.vtt	3.4 KB
10. What order should I take your courses in (part 1).mp4	30.8 MB
10. What order should I take your courses in (part 1).vtt	14.4 KB
11. What order should I take your courses in (part 2).mp4	39.5 MB
11. What order should I take your courses in (part 2).vtt	20.7 KB
2. Windows-Focused Environment Setup 2018.mp4	195.4 MB
2. Windows-Focused Environment Setup 2018.vtt	17.8 KB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	46.1 MB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt	12.7 KB
4. How to Code by Yourself (part 1).mp4	25.7 MB
4. How to Code by Yourself (part 1).vtt	20.3 KB
5. How to Code by Yourself (part 2).mp4	15.5 MB
5. How to Code by Yourself (part 2).vtt	11.9 KB
6. How to Succeed in this Course (Long Version).mp4	19.2 MB
6. How to Succeed in this Course (Long Version).vtt	13.1 KB
7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	40.8 MB
7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	28.4 KB
8. Proof that using Jupyter Notebook is the same as not using it.mp4	82.1 MB
8. Proof that using Jupyter Notebook is the same as not using it.vtt	82.1 MB
9. Python 2 vs Python 3.mp4	8.2 MB
9. Python 2 vs Python 3.vtt	5.5 KB
/
[CourseClub.Me].url	0.0 KB
[DesireCourse.Net].url	0.1 KB
Total files 80