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[ FreeCourseWeb.com ] Udemy - Unsupervised Machine Learning with 2 Capstone ML Projects
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文档列表
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/3. Solving a Real World Problem.mp4
103.6 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/8. Using Silhouette Score to analyze the clusters.mp4
100.9 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/10. Introduction to Hierarchical Clustering.mp4
92.7 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/14. Introduction to t-SNE.mp4
85.2 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/1. Why High Dimensional Datasets are a Problem.mp4
83.1 MB
~Get Your Files Here !/4. Customer Segmentation Engine/3. Data Analysis and Visualization.mp4
81.5 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/13. Introduction to DBSCAN Clustering.mp4
79.2 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/12. Introduction to Principal Component Analysis.mp4
77.3 MB
~Get Your Files Here !/3. Optimizing Crop Production/4. Performing Descriptive Statistics.mp4
77.0 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/7. Implementing K Means on the Mall Dataset.mp4
75.1 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/4. Introduction to Correlation using Heatmap.mp4
74.9 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/6. Solving a Real World Problem.mp4
74.5 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/4. Using the Elbow Method for Choosing the Best Value for K.mp4
70.3 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/2. Types of Clustering.mp4
68.4 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/18. Difference between PCA, t-SNE, and LDA.mp4
68.0 MB
~Get Your Files Here !/3. Optimizing Crop Production/6. Clustering Similar Crops.mp4
66.7 MB
~Get Your Files Here !/4. Customer Segmentation Engine/4. KMeans Clustering Analysis.mp4
64.8 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/1. Introduction to Clustering.mp4
60.6 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/2. Methods to solve the problem of High Dimensionality.mp4
59.8 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/8. Introduction to Recursive Feature Selection.mp4
59.5 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/3. Applications of Clustering.mp4
58.7 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/13. Implementing PCA.mp4
58.2 MB
~Get Your Files Here !/3. Optimizing Crop Production/2. Understanding the Dataset.mp4
57.8 MB
~Get Your Files Here !/4. Customer Segmentation Engine/1. Understanding the Problem Statement.mp4
56.1 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/10. Introduction the Boruta Algorithm.mp4
55.0 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/12. Implementing Hierarchical Clustering.mp4
54.9 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/9. Implementing Recursive Feature Selection.mp4
53.4 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/9. Clustering Multiple Dimensions.mp4
52.5 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/5. Introduction to K Means Clustering.mp4
51.7 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/5. Removing Highly Correlated Columns using Correlation.mp4
51.3 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/16. Introduction to Linear Discriminant Analysis.mp4
51.1 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/6. Introduction to Variance Inflation Filtering.mp4
51.0 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/7. Implementing VIF using statsmodel.mp4
50.2 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/14. Implementing DBSCAN Clustering.mp4
50.2 MB
~Get Your Files Here !/3. Optimizing Crop Production/1. Setting up the Environment.mp4
48.7 MB
~Get Your Files Here !/5. Outro Section/1. Conclusion.mp4
48.6 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/11. Implementing the Boruta Algorithm.mp4
45.3 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/11. Introduction to Dendrograms.mp4
43.8 MB
~Get Your Files Here !/4. Customer Segmentation Engine/5. Applying Hierarchical Clustering.mp4
42.7 MB
~Get Your Files Here !/3. Optimizing Crop Production/10. Summarizing the Key-Points.mp4
42.5 MB
~Get Your Files Here !/3. Optimizing Crop Production/8. Building a Machine Learning Classification Model.mp4
42.3 MB
~Get Your Files Here !/3. Optimizing Crop Production/5. Analyzing Agricultural Conditions.mp4
41.0 MB
~Get Your Files Here !/4. Customer Segmentation Engine/6. Three Dimensional Clustering.mp4
38.5 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/17. Implementing LDA.mp4
38.5 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/15. Implementing t-SNE.mp4
37.9 MB
~Get Your Files Here !/3. Optimizing Crop Production/3. Understanding the Problem Statement.mp4
37.2 MB
~Get Your Files Here !/4. Customer Segmentation Engine/2. Setting up the Environment.mp4
30.2 MB
~Get Your Files Here !/3. Optimizing Crop Production/7. Visualizing the Hidden Patterns.mp4
29.2 MB
~Get Your Files Here !/3. Optimizing Crop Production/9. Real Time Predictions.mp4
29.0 MB
~Get Your Files Here !/3. Solving a Real World Problem.jpeg
197.1 kB
~Get Your Files Here !/4. Customer Segmentation Engine/3. Data Analysis and Visualization.srt
17.7 kB
~Get Your Files Here !/4. Customer Segmentation Engine/4. KMeans Clustering Analysis.srt
9.3 kB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/3. Solving a Real World Problem.srt
8.6 kB
~Get Your Files Here !/1. Introduction to Clustering Analysis/8. Using Silhouette Score to analyze the clusters.srt
7.1 kB
~Get Your Files Here !/3. Optimizing Crop Production/4. Performing Descriptive Statistics.srt
6.4 kB
~Get Your Files Here !/1. Introduction to Clustering Analysis/7. Implementing K Means on the Mall Dataset.srt
6.4 kB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/4. Introduction to Correlation using Heatmap.srt
5.5 kB
~Get Your Files Here !/1. Introduction to Clustering Analysis/6. Solving a Real World Problem.srt
5.1 kB
~Get Your Files Here !/1. Introduction to Clustering Analysis/10. Introduction to Hierarchical Clustering.srt
4.9 kB
~Get Your Files Here !/1. Introduction to Clustering Analysis/13. Introduction to DBSCAN Clustering.srt
4.6 kB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/11. Implementing the Boruta Algorithm.srt
4.6 kB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/14. Introduction to t-SNE.srt
4.6 kB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/1. Why High Dimensional Datasets are a Problem.srt
4.4 kB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/13. Implementing PCA.srt
4.4 kB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/9. Implementing Recursive Feature Selection.srt
4.3 kB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/12. Introduction to Principal Component Analysis.srt
4.2 kB
~Get Your Files Here !/3. Optimizing Crop Production/6. Clustering Similar Crops.srt
4.2 kB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/5. Removing Highly Correlated Columns using Correlation.srt
4.1 kB
~Get Your Files Here !/1. Introduction to Clustering Analysis/11. Introduction to Dendrograms.srt
4.0 kB
~Get Your Files Here !/1. Introduction to Clustering Analysis/2. Types of Clustering.srt
4.0 kB
~Get Your Files Here !/1. Introduction to Clustering Analysis/5. Introduction to K Means Clustering.srt
3.9 kB
~Get Your Files Here !/1. Introduction to Clustering Analysis/4. Using the Elbow Method for Choosing the Best Value for K.srt
3.7 kB
~Get Your Files Here !/1. Introduction to Clustering Analysis/12. Implementing Hierarchical Clustering.srt
3.7 kB
~Get Your Files Here !/1. Introduction to Clustering Analysis/14. Implementing DBSCAN Clustering.srt
3.7 kB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/7. Implementing VIF using statsmodel.srt
3.7 kB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/18. Difference between PCA, t-SNE, and LDA.srt
3.4 kB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/2. Methods to solve the problem of High Dimensionality.srt
3.4 kB
~Get Your Files Here !/1. Introduction to Clustering Analysis/3. Applications of Clustering.srt
3.4 kB
~Get Your Files Here !/3. Optimizing Crop Production/8. Building a Machine Learning Classification Model.srt
3.3 kB
~Get Your Files Here !/3. Optimizing Crop Production/2. Understanding the Dataset.srt
3.3 kB
~Get Your Files Here !/3. Optimizing Crop Production/1. Setting up the Environment.srt
3.2 kB
~Get Your Files Here !/1. Introduction to Clustering Analysis/1. Introduction to Clustering.srt
3.2 kB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/8. Introduction to Recursive Feature Selection.srt
3.2 kB
~Get Your Files Here !/4. Customer Segmentation Engine/1. Understanding the Problem Statement.srt
3.1 kB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/10. Introduction the Boruta Algorithm.srt
3.0 kB
~Get Your Files Here !/5. Outro Section/1. Conclusion.srt
3.0 kB
~Get Your Files Here !/3. Optimizing Crop Production/5. Analyzing Agricultural Conditions.srt
3.0 kB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/17. Implementing LDA.srt
2.8 kB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/16. Introduction to Linear Discriminant Analysis.srt
2.8 kB
~Get Your Files Here !/3. Optimizing Crop Production/7. Visualizing the Hidden Patterns.srt
2.6 kB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/15. Implementing t-SNE.srt
2.4 kB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/6. Introduction to Variance Inflation Filtering.srt
2.4 kB
~Get Your Files Here !/3. Optimizing Crop Production/10. Summarizing the Key-Points.srt
2.3 kB
~Get Your Files Here !/3. Optimizing Crop Production/9. Real Time Predictions.srt
2.2 kB
~Get Your Files Here !/4. Customer Segmentation Engine/2. Setting up the Environment.srt
2.1 kB
~Get Your Files Here !/3. Optimizing Crop Production/3. Understanding the Problem Statement.srt
1.9 kB
~Get Your Files Here !/4. Customer Segmentation Engine/6. Three Dimensional Clustering.srt
1.9 kB
~Get Your Files Here !/4. Customer Segmentation Engine/5. Applying Hierarchical Clustering.srt
1.8 kB
~Get Your Files Here !/Bonus Resources.txt
357 Bytes
~Get Your Files Here !/1. Introduction to Clustering Analysis/9. Clustering Multiple Dimensions.srt
278 Bytes
Get Bonus Downloads Here.url
183 Bytes
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