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Cluster Analysis and Unsupervised Machine Learning in Python

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Cluster Analysis and Unsupervised Machine Learning in Python

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2.0 GB

Total Files

115

Last Seen

2024-11-11 23:42

Hash

0100A1B15E8426EAD6A9EBD9669D2A7DD156E3B9

/.../5. Setting Up Your Environment (FAQ by Student Request)/

1. Windows-Focused Environment Setup 2018.mp4

195.4 MB

1. Windows-Focused Environment Setup 2018.srt

20.6 KB

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

46.0 MB

2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt

14.8 KB

/

TutsNode.com.txt

0.1 KB

[TGx]Downloaded from torrentgalaxy.to .txt

0.6 KB

/.../1. Introduction to Unsupervised Learning/

1. Introduction.mp4

47.9 MB

1. Introduction.srt

7.1 KB

2. Course Outline.mp4

21.2 MB

2. Course Outline.srt

6.1 KB

3. What is unsupervised learning used for.mp4

30.5 MB

3. What is unsupervised learning used for.srt

7.4 KB

4. Why Use Clustering.mp4

57.5 MB

4. Why Use Clustering.srt

12.4 KB

5. Where to get the code.mp4

24.2 MB

5. Where to get the code.srt

6.4 KB

5.1 Github Link.html

0.1 KB

6. Anyone Can Succeed in this Course.mp4

81.9 MB

6. Anyone Can Succeed in this Course.srt

17.5 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.srt

9.7 KB

2. Hard K-Means Exercise Prompt 1.mp4

52.5 MB

2. Hard K-Means Exercise Prompt 1.srt

11.8 KB

3. Hard K-Means Exercise 1 Solution.mp4

58.1 MB

3. Hard K-Means Exercise 1 Solution.srt

14.1 KB

4. Hard K-Means Exercise Prompt 2.mp4

24.1 MB

4. Hard K-Means Exercise Prompt 2.srt

6.3 KB

5. Hard K-Means Exercise 2 Solution.mp4

34.9 MB

5. Hard K-Means Exercise 2 Solution.srt

8.6 KB

6. Hard K-Means Exercise Prompt 3.mp4

43.9 MB

6. Hard K-Means Exercise Prompt 3.srt

8.9 KB

7. Hard K-Means Exercise 3 Solution.mp4

95.8 MB

7. Hard K-Means Exercise 3 Solution.srt

21.0 KB

8. Hard K-Means Objective Theory.mp4

54.4 MB

8. Hard K-Means Objective Theory.srt

17.4 KB

9. Hard K-Means Objective Code.mp4

29.0 MB

9. Hard K-Means Objective Code.srt

6.1 KB

10. Soft K-Means.mp4

26.5 MB

10. Soft K-Means.srt

7.1 KB

11. The Soft K-Means Objective Function.mp4

3.2 MB

11. The Soft K-Means Objective Function.srt

2.1 KB

12. Soft K-Means in Python Code.mp4

31.7 MB

12. Soft K-Means in Python Code.srt

8.0 KB

13. How to Pace Yourself.mp4

23.5 MB

13. How to Pace Yourself.srt

4.8 KB

14. Visualizing Each Step of K-Means.mp4

5.5 MB

14. Visualizing Each Step of K-Means.srt

2.7 KB

15. Examples of where K-Means can fail.mp4

17.8 MB

15. Examples of where K-Means can fail.srt

5.3 KB

16. Disadvantages of K-Means Clustering.mp4

4.1 MB

16. Disadvantages of K-Means Clustering.srt

3.4 KB

17. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4

11.9 MB

17. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).srt

9.2 KB

18. Using K-Means on Real Data MNIST.mp4

11.2 MB

18. Using K-Means on Real Data MNIST.srt

7.1 KB

19. One Way to Choose K.mp4

9.5 MB

19. One Way to Choose K.srt

5.2 KB

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

27.2 MB

20. K-Means Application Finding Clusters of Related Words.srt

8.6 KB

21. Clustering for NLP and Computer Vision Real-World Applications.mp4

44.5 MB

21. Clustering for NLP and Computer Vision Real-World Applications.srt

9.4 KB

22. Suggestion Box.mp4

16.9 MB

22. Suggestion Box.srt

4.8 KB

/3. Hierarchical Clustering/

1. Visual Walkthrough of Agglomerative Hierarchical Clustering.mp4

4.6 MB

1. Visual Walkthrough of Agglomerative Hierarchical Clustering.srt

3.6 KB

2. Agglomerative Clustering Options.mp4

6.5 MB

2. Agglomerative Clustering Options.srt

5.6 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.srt

4.5 KB

4. Application Evolution.mp4

27.7 MB

4. Application Evolution.srt

16.6 KB

5. Application Donald Trump vs. Hillary Clinton Tweets.mp4

37.0 MB

5. Application Donald Trump vs. Hillary Clinton Tweets.srt

19.9 KB

/.../4. Gaussian Mixture Models (GMMs)/

1. Gaussian Mixture Model (GMM) Algorithm.mp4

69.0 MB

1. Gaussian Mixture Model (GMM) Algorithm.srt

20.6 KB

2. Write a Gaussian Mixture Model in Python Code.mp4

144.1 MB

2. Write a Gaussian Mixture Model in Python Code.srt

25.5 KB

3. Practical Issues with GMM Singular Covariance.mp4

45.4 MB

3. Practical Issues with GMM Singular Covariance.srt

12.4 KB

4. Comparison between GMM and K-Means.mp4

20.1 MB

4. Comparison between GMM and K-Means.srt

5.1 KB

5. Kernel Density Estimation.mp4

31.4 MB

5. Kernel Density Estimation.srt

8.6 KB

6. GMM vs Bayes Classifier (pt 1).mp4

43.3 MB

6. GMM vs Bayes Classifier (pt 1).srt

12.8 KB

7. GMM vs Bayes Classifier (pt 2).mp4

47.4 MB

7. GMM vs Bayes Classifier (pt 2).srt

15.0 KB

8. Expectation-Maximization (pt 1).mp4

52.2 MB

8. Expectation-Maximization (pt 1).srt

15.3 KB

9. Expectation-Maximization (pt 2).mp4

11.4 MB

9. Expectation-Maximization (pt 2).srt

2.7 KB

10. Expectation-Maximization (pt 3).mp4

32.8 MB

10. Expectation-Maximization (pt 3).srt

10.3 KB

11. Future Unsupervised Learning Algorithms You Will Learn.mp4

2.0 MB

11. Future Unsupervised Learning Algorithms You Will Learn.srt

1.4 KB

/.../6. Extra Help With Python Coding for Beginners (FAQ by Student Request)/

1. How to Code by Yourself (part 1).mp4

25.7 MB

1. How to Code by Yourself (part 1).srt

23.3 KB

2. How to Code by Yourself (part 2).mp4

15.5 MB

2. How to Code by Yourself (part 2).srt

13.6 KB

3. Proof that using Jupyter Notebook is the same as not using it.mp4

82.1 MB

3. Proof that using Jupyter Notebook is the same as not using it.srt

14.5 KB

4. Python 2 vs Python 3.mp4

8.2 MB

4. Python 2 vs Python 3.srt

6.2 KB

/.../7. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/

1. How to Succeed in this Course (Long Version).mp4

19.2 MB

1. How to Succeed in this Course (Long Version).srt

14.9 KB

2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4

40.8 MB

2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt

32.5 KB

3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4

30.7 MB

3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt

16.4 KB

4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4

39.4 MB

4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt

23.6 KB

/.../8. Appendix FAQ Finale/

1. What is the Appendix.mp4

5.7 MB

1. What is the Appendix.srt

3.8 KB

2. BONUS Where to get discount coupons and FREE deep learning material.mp4

39.6 MB

2. BONUS Where to get discount coupons and FREE deep learning material.srt

8.1 KB

 

Total files 115


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