[ FreeCourseWeb.com ] Udemy - Unsupervised Machine Learning with 2 Capstone ML Projects

磁力链接/BT种子名称

[ FreeCourseWeb.com ] Udemy - Unsupervised Machine Learning with 2 Capstone ML Projects

磁力链接/BT种子简介

种子哈希：92d3d41cf2341a3af1e0fb26c81e9d9862d8a0e6
文件大小： 2.67G
已经下载：1226次
下载速度：极快
收录时间：2023-12-31
最近下载：2025-08-01

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文件列表

  • ~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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