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Unsupervised Machine Learning with Python
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[TutsNode.com] - Unsupervised Machine Learning with Python (Size: 4.22 GB) (Files: 170)
[TutsNode.com] - Unsupervised Machine Learning with Python
7. Gaussian Mixture Model Clustering
6. Section 7.4 Gaussian Mixture Model Code Walkthrough.mp4
1.1 UnsupervisedML_GMM.pdf
3.1 UnsupervisedML_GMM.pdf
2.1 UnsupervisedML_Exercises_Section7.1.pdf
4.1 UnsupervisedML_Exercises_Section7.2.pdf
7.1 UnsupervisedML_Exercises_Section7.4.pdf
1. Section 7.1 Normal Distribution Probability Density Function.mp4
3. Section 7.2 Gaussian Mixture Model Algorithm.mp4
5. Section 7.3 Gaussian Mixture Model Code Design.mp4
7. Section 7.4 Exercises.mp4
4. Section 7.2 Exercises.mp4
2. Section 7.1 Exercises.mp4
10. Case Studies
5.1 UnsupervisedML_Exercises_Section10.3.pdf
7.1 UnsupervisedML_Exercises_Section10.4.pdf
6. Section 10.4 Clustering for BBC Text Dataset.mp4
2. Section 10.2 Clustering for Iris Flower Dataset.mp4
3.1 UnsupervisedML_Exercises_Section10.2.pdf
4. Section 10.3 Clustering for MNIST Digits Dataset.mp4
1. Section 10.1 Clustering Quality Metrics.mp4
7. Section 10.4 Exercises.mp4
5. Exercises for Section 10.3.mp4
3. Section 10.2 Exercises.mp4
12. Optional
1.1 Link to Introduction to Machine Learning course on Udemy.html
1.2 Link to What is Machine Learning free course on Udemy.html
1. Section 12.1 Optional Lecture.mp4
1. Introduction
3.2 Course Github site.html
3.1 UnsupervisedML_Resources.pdf
3. Section 1.3 Course Resources and Set Up.mp4
1. Section 1.1 Introduction.mp4
2. Section 1.2 About this Course.mp4
4. Hierarchical Clustering
4. Section 4.3 Hierarchical Clustering Code Walkthrough.mp4
5.1 UnsupervisedML_Exercises_Section4.3.pdf
2.1 UnsupervisedML_Exercises_Section4.1.pdf
3. Section 4.2 Hierarchical Clustering Code Design.mp4
1. Section 4.1 Hierarchical Clustering Algorithm.mp4
2. Section 4.1 Exercises.mp4
5. Section 4.3 Exercises.mp4
6. K Means Clustering
4. Section 6.3 K Means Code Walkthrough.mp4
5.1 UnsupervisedML_Exercises_Section6.3.pdf
2.1 UnsupervisedML_Exercises_Section6.1.pdf
1. Section 6.1 K Means Algorithm.mp4
3. Section 6.2 K Means Code Design.mp4
5. Section 6.3 Exercises.mp4
2. Section 6.1 Exercises.mp4
3. Review of Mathematical Concepts
3.1 UnsupervisedML_Exercises_Section3.1.pdf
5.1 UnsupervisedML_Exercises_Section3.2.pdf
9.1 UnsupervisedML_Exercises_Section3.4.pdf
7.1 UnsupervisedML_Exercises_Section3.3.pdf
11.1 UnsupervisedML_Exercises_Section3.5.pdf
8. Section 3.4 Singular Value Decomposition.mp4
2. Section 3.1 What is Data in Unsupervised Learning.mp4
4. Section 3.2 Computational Complexity.mp4
10. Section 3.5 Mean, Variance, and Covariance.mp4
6. Section 3.3 Distance Measures.mp4
1. Section 3.0 Review of Mathematical Concepts.mp4
11. Section 3.5 Exercises.mp4
5. Section 3.2 Exercises.mp4
7. Section 3.3 Exercises.mp4
9. Section 3.4 Exercises.mp4
3. Section 3.1 Exercises.mp4
2. Python Demos
2. Section 2.1 Numpy Basic Demos.mp4
11.1 UnsupervisedML_Exercises_Section2.5.pdf
8. Section 2.4 Matplotlib Cluster Plot and Animation Demo.mp4
3.1 UnsupervisedML_Exercises_Section2.1.pdf
7.1 UnsupervisedML_Exercises_Section2.3.pdf
5.1 UnsupervisedML_Exercises_Section2.2.pdf
9.1 UnsupervisedML_Exercises_Section2.4.pdf
6. Section 2.3 Matplotlib Basic Demo.mp4
4. Section 2.2 Numpy Matrix Operations Demo.mp4
10. Section 2.5 Pandas Demo.mp4
12. Section 2.6 Sklearn Datasets Demo.mp4
1. Section 2.0 Python Demos.mp4
3. Section 2.1 Exercises.mp4
5. Section 2.2 Exercises.mp4
11. Section 2.5 Exercises.mp4
7. Section 2.3 Exercises.mp4
9. Section 2.4 Exercises.mp4
9. Dimension Reduction
8.1 UnsupervisedML_Exercises_Section9.4.pdf
3.1 UnsupervisedML_Exercises_Section9.1.pdf
7. Section 9.4 PCA Applied to MNIST Digits Dataset.mp4
6.1 UnsupervisedML_Exercises_Section9.3.pdf
2. Section 9.1 Principal Component Analysis Algorithm.mp4
5. Section 9.3 Principal Component Analysis Code Walkthrough.mp4
9. Section 9.5 Autoencoders.mp4
4. Section 9.2 Principal Component Analysis Code Design.mp4
1. Section 9.0 Dimension Reduction Overview.mp4
8. Section 9.4 Exercises.mp4
3. Section 9.1 Exercises.mp4
6. Section 9.3 Exercises.mp4
5. DBSCAN Clustering
4. Section 5.3 DBSCAN Code Walkthrough.mp4
2.1 UnsupervisedML_Exercises_Section5.1.pdf
5.1 UnsupervisedML_Exercises_Section5.3.pdf
1. Section 5.1 DBSCAN Algorithm.mp4
3. Section 5.2 DBSCAN Code Design.mp4
5. Section 5.3 Exercises.mp4
2. Section 5.1 Exercises.mp4
8. Comparison of Clustering Algorithms
2.1 UnsupervisedML_Exercises_Section8.1.pdf
1. Section 8.1 Metrics for Measuring Quality of Clustering.mp4
3. Section 8.2 Comparison of Algorithms.mp4
2. Section 8.1 Exercises.mp4
11. Concluding Remarks and Thank You
1. Section 11.1 Concluding Remarks and Thank You.mp4
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