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Cluster Analysis and Unsupervised Machine Learning in Python
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[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python (Size: 1.90 GB) (Files: 115)
[TutsNode.com] - Cluster Analysis and Unsupervised Machine Learning in Python
5. Setting Up Your Environment (FAQ by Student Request)
1. Windows-Focused Environment Setup 2018.mp4
1. Windows-Focused Environment Setup 2018.srt
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
1. Introduction to Unsupervised Learning
1. Introduction.mp4
1. Introduction.srt
2. Course Outline.mp4
2. Course Outline.srt
3. What is unsupervised learning used for.mp4
3. What is unsupervised learning used for.srt
4. Why Use Clustering.mp4
4. Why Use Clustering.srt
5. Where to get the code.mp4
5. Where to get the code.srt
5.1 Github Link.html
6. Anyone Can Succeed in this Course.mp4
6. Anyone Can Succeed in this Course.srt
2. K-Means Clustering
1. An Easy Introduction to K-Means Clustering.mp4
1. An Easy Introduction to K-Means Clustering.srt
2. Hard K-Means Exercise Prompt 1.mp4
2. Hard K-Means Exercise Prompt 1.srt
3. Hard K-Means Exercise 1 Solution.mp4
3. Hard K-Means Exercise 1 Solution.srt
4. Hard K-Means Exercise Prompt 2.mp4
4. Hard K-Means Exercise Prompt 2.srt
5. Hard K-Means Exercise 2 Solution.mp4
5. Hard K-Means Exercise 2 Solution.srt
6. Hard K-Means Exercise Prompt 3.mp4
6. Hard K-Means Exercise Prompt 3.srt
7. Hard K-Means Exercise 3 Solution.mp4
7. Hard K-Means Exercise 3 Solution.srt
8. Hard K-Means Objective Theory.mp4
8. Hard K-Means Objective Theory.srt
9. Hard K-Means Objective Code.mp4
9. Hard K-Means Objective Code.srt
10. Soft K-Means.mp4
10. Soft K-Means.srt
11. The Soft K-Means Objective Function.mp4
11. The Soft K-Means Objective Function.srt
12. Soft K-Means in Python Code.mp4
12. Soft K-Means in Python Code.srt
13. How to Pace Yourself.mp4
13. How to Pace Yourself.srt
14. Visualizing Each Step of K-Means.mp4
14. Visualizing Each Step of K-Means.srt
15. Examples of where K-Means can fail.mp4
15. Examples of where K-Means can fail.srt
16. Disadvantages of K-Means Clustering.mp4
16. Disadvantages of K-Means Clustering.srt
17. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4
17. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).srt
18. Using K-Means on Real Data MNIST.mp4
18. Using K-Means on Real Data MNIST.srt
19. One Way to Choose K.mp4
19. One Way to Choose K.srt
20. K-Means Application Finding Clusters of Related Words.mp4
20. K-Means Application Finding Clusters of Related Words.srt
21. Clustering for NLP and Computer Vision Real-World Applications.mp4
21. Clustering for NLP and Computer Vision Real-World Applications.srt
22. Suggestion Box.mp4
22. Suggestion Box.srt
3. Hierarchical Clustering
1. Visual Walkthrough of Agglomerative Hierarchical Clustering.mp4
1. Visual Walkthrough of Agglomerative Hierarchical Clustering.srt
2. Agglomerative Clustering Options.mp4
2. Agglomerative Clustering Options.srt
3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4
3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.srt
4. Application Evolution.mp4
4. Application Evolution.srt
5. Application Donald Trump vs. Hillary Clinton Tweets.mp4
5. Application Donald Trump vs. Hillary Clinton Tweets.srt
4. Gaussian Mixture Models (GMMs)
1. Gaussian Mixture Model (GMM) Algorithm.mp4
1. Gaussian Mixture Model (GMM) Algorithm.srt
2. Write a Gaussian Mixture Model in Python Code.mp4
2. Write a Gaussian Mixture Model in Python Code.srt
3. Practical Issues with GMM Singular Covariance.mp4
3. Practical Issues with GMM Singular Covariance.srt
4. Comparison between GMM and K-Means.mp4
4. Comparison between GMM and K-Means.srt
5. Kernel Density Estimation.mp4
5. Kernel Density Estimation.srt
6. GMM vs Bayes Classifier (pt 1).mp4
6. GMM vs Bayes Classifier (pt 1).srt
7. GMM vs Bayes Classifier (pt 2).mp4
7. GMM vs Bayes Classifier (pt 2).srt
8. Expectation-Maximization (pt 1).mp4
8. Expectation-Maximization (pt 1).srt
9. Expectation-Maximization (pt 2).mp4
9. Expectation-Maximization (pt 2).srt
10. Expectation-Maximization (pt 3).mp4
10. Expectation-Maximization (pt 3).srt
11. Future Unsupervised Learning Algorithms You Will Learn.mp4
11. Future Unsupervised Learning Algorithms You Will Learn.srt
6. Extra Help With Python Coding for Beginners (FAQ by Student Request)
1. How to Code by Yourself (part 1).mp4
1. How to Code by Yourself (part 1).srt
2. How to Code by Yourself (part 2).mp4
2. How to Code by Yourself (part 2).srt
3. Proof that using Jupyter Notebook is the same as not using it.mp4
3. Proof that using Jupyter Notebook is the same as not using it.srt
4. Python 2 vs Python 3.mp4
4. Python 2 vs Python 3.srt
7. Effective Learning Strategies for Machine Learning (FAQ by Student Request)
1. How to Succeed in this Course (Long Version).mp4
1. How to Succeed in this Course (Long Version).srt
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt
4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt
8. Appendix FAQ Finale
1. What is the Appendix.mp4
1. What is the Appendix.srt
2. BONUS Where to get discount coupons and FREE deep learning material.mp4
2. BONUS Where to get discount coupons and FREE deep learning material.srt
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