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33.3 KB
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1. Section 1.1 Introduction.mp4
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MP4
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43.1 MB
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1
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17.6 KB
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1. Section 10.1 Clustering Quality Metrics.mp4
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MP4
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112.9 MB
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1. Section 11.1 Concluding Remarks and Thank You.mp4
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MP4
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44.6 MB
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1. Section 12.1 Optional Lecture.mp4
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MP4
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7.9 MB
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1. Section 2.0 Python Demos.mp4
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MP4
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11.4 MB
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1. Section 3.0 Review of Mathematical Concepts.mp4
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MP4
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11.5 MB
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1. Section 4.1 Hierarchical Clustering Algorithm.mp4
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MP4
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48.3 MB
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1. Section 5.1 DBSCAN Algorithm.mp4
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MP4
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70.1 MB
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1. Section 6.1 K Means Algorithm.mp4
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MP4
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87 MB
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1. Section 7.1 Normal Distribution Probability Density Function.mp4
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MP4
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124.5 MB
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1. Section 8.1 Metrics for Measuring Quality of Clustering.mp4
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MP4
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146.3 MB
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1. Section 9.0 Dimension Reduction Overview.mp4
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MP4
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16.1 MB
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1.1 Link to Introduction to Machine Learning course on Udemy.html
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HTML
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204.8 B
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1.1 UnsupervisedML_GMM.pdf
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PDF
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285.6 KB
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1.2 Link to What is Machine Learning free course on Udemy.html
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HTML
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102.4 B
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10. Section 2.5 Pandas Demo.mp4
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MP4
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43.6 MB
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10. Section 3.5 Mean, Variance, and Covariance.mp4
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MP4
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71.3 MB
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11. Section 2.5 Exercises.mp4
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3.2 MB
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11. Section 3.5 Exercises.mp4
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3.2 MB
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11.1 UnsupervisedML_Exercises_Section2.5.pdf
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PDF
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150.2 KB
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11.1 UnsupervisedML_Exercises_Section3.5.pdf
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PDF
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108.1 KB
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12. Section 2.6 Sklearn Datasets Demo.mp4
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MP4
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40.3 MB
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2. Section 1.2 About this Course.mp4
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MP4
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12.1 MB
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2. Section 10.2 Clustering for Iris Flower Dataset.mp4
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MP4
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177.8 MB
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2
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7.7 KB
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2. Section 2.1 Numpy Basic Demos.mp4
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MP4
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186.3 MB
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2. Section 3.1 What is Data in Unsupervised Learning.mp4
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MP4
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100.8 MB
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2. Section 4.1 Exercises.mp4
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MP4
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3.2 MB
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2. Section 5.1 Exercises.mp4
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MP4
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3.2 MB
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2. Section 6.1 Exercises.mp4
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MP4
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3.2 MB
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2. Section 7.1 Exercises.mp4
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MP4
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3.2 MB
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2. Section 8.1 Exercises.mp4
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MP4
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3.2 MB
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2. Section 9.1 Principal Component Analysis Algorithm.mp4
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MP4
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141.2 MB
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2.1 UnsupervisedML_Exercises_Section4.1.pdf
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PDF
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122.1 KB
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2.1 UnsupervisedML_Exercises_Section5.1.pdf
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PDF
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51.4 KB
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2.1 UnsupervisedML_Exercises_Section6.1.pdf
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PDF
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136 KB
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2.1 UnsupervisedML_Exercises_Section7.1.pdf
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PDF
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145.4 KB
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2.1 UnsupervisedML_Exercises_Section8.1.pdf
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PDF
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51.9 KB
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3. Section 1.3 Course Resources and Set Up.mp4
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MP4
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98.6 MB
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3. Section 10.2 Exercises.mp4
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MP4
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3.2 MB
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3. Section 2.1 Exercises.mp4
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3.2 MB
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3
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23.5 KB
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3. Section 3.1 Exercises.mp4
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3.2 MB
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3. Section 4.2 Hierarchical Clustering Code Design.mp4
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MP4
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98.2 MB
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3. Section 5.2 DBSCAN Code Design.mp4
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MP4
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41.8 MB
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3. Section 6.2 K Means Code Design.mp4
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MP4
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82.7 MB
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3. Section 7.2 Gaussian Mixture Model Algorithm.mp4
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MP4
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98 MB
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3. Section 8.2 Comparison of Algorithms.mp4
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MP4
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114.7 MB
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3. Section 9.1 Exercises.mp4
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MP4
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3.2 MB
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3.1 UnsupervisedML_Exercises_Section10.2.pdf
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PDF
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37 KB
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3.1 UnsupervisedML_Exercises_Section2.1.pdf
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PDF
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116.2 KB
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3.1 UnsupervisedML_Exercises_Section3.1.pdf
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PDF
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195.4 KB
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3.1 UnsupervisedML_Exercises_Section9.1.pdf
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PDF
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129.7 KB
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3.1 UnsupervisedML_GMM.pdf
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PDF
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285.6 KB
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3.1 UnsupervisedML_Resources.pdf
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PDF
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178.7 KB
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3.2 Course Github site.html
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HTML
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102.4 B
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4. Section 10.3 Clustering for MNIST Digits Dataset.mp4
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MP4
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125.7 MB
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4. Section 2.2 Numpy Matrix Operations Demo.mp4
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MP4
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70.5 MB
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4. Section 3.2 Computational Complexity.mp4
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MP4
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94.5 MB
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4. Section 4.3 Hierarchical Clustering Code Walkthrough.mp4
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MP4
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236 MB
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4. Section 5.3 DBSCAN Code Walkthrough.mp4
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MP4
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174.7 MB
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4. Section 6.3 K Means Code Walkthrough.mp4
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MP4
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198.3 MB
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4. Section 7.2 Exercises.mp4
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MP4
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3.2 MB
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4. Section 9.2 Principal Component Analysis Code Design.mp4
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MP4
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22.7 MB
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18.7 KB
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4.1 UnsupervisedML_Exercises_Section7.2.pdf
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PDF
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142.6 KB
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5. Section 3.2 Exercises.mp4
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MP4
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3.2 MB
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5. Section 4.3 Exercises.mp4
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3.2 MB
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5
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32.5 KB
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5. Exercises for Section 10.3.mp4
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3.2 MB
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5. Section 2.2 Exercises.mp4
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3.2 MB
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5. Section 5.3 Exercises.mp4
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MP4
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3.2 MB
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5. Section 6.3 Exercises.mp4
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MP4
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3.2 MB
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5. Section 7.3 Gaussian Mixture Model Code Design.mp4
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MP4
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84 MB
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5. Section 9.3 Principal Component Analysis Code Walkthrough.mp4
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MP4
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102.3 MB
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5.1 UnsupervisedML_Exercises_Section10.3.pdf
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PDF
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72.3 KB
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5.1 UnsupervisedML_Exercises_Section2.2.pdf
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PDF
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110 KB
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5.1 UnsupervisedML_Exercises_Section3.2.pdf
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PDF
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114 KB
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5.1 UnsupervisedML_Exercises_Section4.3.pdf
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PDF
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40.7 KB
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5.1 UnsupervisedML_Exercises_Section5.3.pdf
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40.5 KB
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5.1 UnsupervisedML_Exercises_Section6.3.pdf
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58.4 KB
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6
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7.3 KB
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6. Section 10.4 Clustering for BBC Text Dataset.mp4
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185.9 MB
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6. Section 2.3 Matplotlib Basic Demo.mp4
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MP4
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71.4 MB
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6. Section 3.3 Distance Measures.mp4
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MP4
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67 MB
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6. Section 7.4 Gaussian Mixture Model Code Walkthrough.mp4
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MP4
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280.6 MB
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6. Section 9.3 Exercises.mp4
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3.2 MB
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6.1 UnsupervisedML_Exercises_Section9.3.pdf
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PDF
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110.4 KB
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7. Section 10.4 Exercises.mp4
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MP4
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3.2 MB
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7. Section 2.3 Exercises.mp4
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3.2 MB
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7. Section 3.3 Exercises.mp4
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3.2 MB
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7. Section 7.4 Exercises.mp4
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3.2 MB
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7. Section 9.4 PCA Applied to MNIST Digits Dataset.mp4
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156.7 MB
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7.1 UnsupervisedML_Exercises_Section10.4.pdf
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PDF
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58.5 KB
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7.1 UnsupervisedML_Exercises_Section2.3.pdf
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110.1 KB
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7.1 UnsupervisedML_Exercises_Section3.3.pdf
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PDF
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112.9 KB
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7.1 UnsupervisedML_Exercises_Section7.4.pdf
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PDF
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130.5 KB
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8. Section 2.4 Matplotlib Cluster Plot and Animation Demo.mp4
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MP4
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161.9 MB
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8. Section 3.4 Singular Value Decomposition.mp4
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103.8 MB
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8. Section 9.4 Exercises.mp4
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3.2 MB
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8.1 UnsupervisedML_Exercises_Section9.4.pdf
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155 KB
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9. Section 2.4 Exercises.mp4
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3.2 MB
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9. Section 3.4 Exercises.mp4
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3.2 MB
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9. Section 9.5 Autoencoders.mp4
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35.8 MB
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9.1 UnsupervisedML_Exercises_Section2.4.pdf
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PDF
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109.6 KB
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9.1 UnsupervisedML_Exercises_Section3.4.pdf
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113.3 KB
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TutsNode.com.txt
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TXT
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