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[DesireCourse.Net] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python
magnet:?xt=urn:btih:d6def40031f087ef0911ecf51d1247db300b31aa&dn=[DesireCourse.Net] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python
磁力链接详情
Hash值:
d6def40031f087ef0911ecf51d1247db300b31aa
点击数:
135
文件大小:
802.89 MB
文件数量:
39
创建日期:
2019-10-24 14:57
最后访问:
2024-7-20 03:25
访问标签:
DesireCourse
Net
Udemy
-
Cluster
Analysis
and
Unsupervised
Machine
Learning
in
Python
文件列表详情
1. Introduction to Unsupervised Learning/1. Introduction and Outline.mp4 4.11 MB
1. Introduction to Unsupervised Learning/2. What is unsupervised learning used for.mp4 7.58 MB
1. Introduction to Unsupervised Learning/3. Why Use Clustering.mp4 6.64 MB
1. Introduction to Unsupervised Learning/4. How to Succeed in this Course.mp4 3.3 MB
2. K-Means Clustering/1. An Easy Introduction to K-Means Clustering.mp4 12.56 MB
2. K-Means Clustering/10. Using K-Means on Real Data MNIST.mp4 10.71 MB
2. K-Means Clustering/11. One Way to Choose K.mp4 9.08 MB
2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 25.99 MB
2. K-Means Clustering/2. Visual Walkthrough of the K-Means Clustering Algorithm.mp4 4.87 MB
2. K-Means Clustering/3. Soft K-Means.mp4 25.25 MB
2. K-Means Clustering/4. The K-Means Objective Function.mp4 3.02 MB
2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 30.21 MB
2. K-Means Clustering/6. Visualizing Each Step of K-Means.mp4 5.26 MB
2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17 MB
2. K-Means Clustering/8. Disadvantages of K-Means Clustering.mp4 3.87 MB
2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.39 MB
3. Hierarchical Clustering/1. Visual Walkthrough of Agglomerative Hierarchical Clustering.mp4 4.4 MB
3. Hierarchical Clustering/2. Agglomerative Clustering Options.mp4 6.23 MB
3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 11.86 MB
3. Hierarchical Clustering/4. Application Evolution.mp4 26.4 MB
3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 35.28 MB
4. Gaussian Mixture Models (GMMs)/1. Description of the Gaussian Mixture Model and How to Train a GMM.mp4 5.23 MB
4. Gaussian Mixture Models (GMMs)/2. Comparison between GMM and K-Means.mp4 3 MB
4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 30.12 MB
4. Gaussian Mixture Models (GMMs)/4. Practical Issues with GMM Singular Covariance.mp4 4.96 MB
4. Gaussian Mixture Models (GMMs)/5. Kernel Density Estimation.mp4 3.71 MB
4. Gaussian Mixture Models (GMMs)/6. Expectation-Maximization.mp4 3.5 MB
4. Gaussian Mixture Models (GMMs)/7. Future Unsupervised Learning Algorithms You Will Learn.mp4 1.95 MB
5. Appendix/1. What is the Appendix.mp4 5.45 MB
5. Appendix/10. What order should I take your courses in (part 1).mp4 29.33 MB
5. Appendix/11. What order should I take your courses in (part 2).mp4 37.63 MB
5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 186.31 MB
5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.92 MB
5. Appendix/4. How to Code by Yourself (part 1).mp4 24.53 MB
5. Appendix/5. How to Code by Yourself (part 2).mp4 14.81 MB
5. Appendix/6. How to Succeed in this Course (Long Version).mp4 18.31 MB
5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.95 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 78.29 MB
5. Appendix/9. Python 2 vs Python 3.mp4 7.84 MB
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