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

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视频 2021-8-9 19:23 2024-12-21 15:45 267 2.67 GB 49
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文件列表
  1. ~Get Your Files Here !/1. Introduction to Clustering Analysis/1. Introduction to Clustering.mp457.83MB
  2. ~Get Your Files Here !/1. Introduction to Clustering Analysis/10. Introduction to Hierarchical Clustering.mp488.39MB
  3. ~Get Your Files Here !/1. Introduction to Clustering Analysis/11. Introduction to Dendrograms.mp441.77MB
  4. ~Get Your Files Here !/1. Introduction to Clustering Analysis/12. Implementing Hierarchical Clustering.mp452.37MB
  5. ~Get Your Files Here !/1. Introduction to Clustering Analysis/13. Introduction to DBSCAN Clustering.mp475.56MB
  6. ~Get Your Files Here !/1. Introduction to Clustering Analysis/14. Implementing DBSCAN Clustering.mp447.84MB
  7. ~Get Your Files Here !/1. Introduction to Clustering Analysis/2. Types of Clustering.mp465.27MB
  8. ~Get Your Files Here !/1. Introduction to Clustering Analysis/3. Applications of Clustering.mp456MB
  9. ~Get Your Files Here !/1. Introduction to Clustering Analysis/4. Using the Elbow Method for Choosing the Best Value for K.mp467.03MB
  10. ~Get Your Files Here !/1. Introduction to Clustering Analysis/5. Introduction to K Means Clustering.mp449.3MB
  11. ~Get Your Files Here !/1. Introduction to Clustering Analysis/6. Solving a Real World Problem.mp471.08MB
  12. ~Get Your Files Here !/1. Introduction to Clustering Analysis/7. Implementing K Means on the Mall Dataset.mp471.63MB
  13. ~Get Your Files Here !/1. Introduction to Clustering Analysis/8. Using Silhouette Score to analyze the clusters.mp496.27MB
  14. ~Get Your Files Here !/1. Introduction to Clustering Analysis/9. Clustering Multiple Dimensions.mp450.04MB
  15. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/1. Why High Dimensional Datasets are a Problem.mp479.26MB
  16. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/10. Introduction the Boruta Algorithm.mp452.48MB
  17. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/11. Implementing the Boruta Algorithm.mp443.23MB
  18. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/12. Introduction to Principal Component Analysis.mp473.75MB
  19. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/13. Implementing PCA.mp455.55MB
  20. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/14. Introduction to t-SNE.mp481.21MB
  21. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/15. Implementing t-SNE.mp436.12MB
  22. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/16. Introduction to Linear Discriminant Analysis.mp448.76MB
  23. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/17. Implementing LDA.mp436.73MB
  24. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/18. Difference between PCA, t-SNE, and LDA.mp464.82MB
  25. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/2. Methods to solve the problem of High Dimensionality.mp457.07MB
  26. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/3. Solving a Real World Problem.mp498.79MB
  27. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/4. Introduction to Correlation using Heatmap.mp471.4MB
  28. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/5. Removing Highly Correlated Columns using Correlation.mp448.89MB
  29. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/6. Introduction to Variance Inflation Filtering.mp448.66MB
  30. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/7. Implementing VIF using statsmodel.mp447.86MB
  31. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/8. Introduction to Recursive Feature Selection.mp456.75MB
  32. ~Get Your Files Here !/2. Introduction to Dimensionality Reduction/9. Implementing Recursive Feature Selection.mp450.92MB
  33. ~Get Your Files Here !/3. Optimizing Crop Production/1. Setting up the Environment.mp446.44MB
  34. ~Get Your Files Here !/3. Optimizing Crop Production/10. Summarizing the Key-Points.mp440.53MB
  35. ~Get Your Files Here !/3. Optimizing Crop Production/2. Understanding the Dataset.mp455.08MB
  36. ~Get Your Files Here !/3. Optimizing Crop Production/3. Understanding the Problem Statement.mp435.44MB
  37. ~Get Your Files Here !/3. Optimizing Crop Production/4. Performing Descriptive Statistics.mp473.45MB
  38. ~Get Your Files Here !/3. Optimizing Crop Production/5. Analyzing Agricultural Conditions.mp439.12MB
  39. ~Get Your Files Here !/3. Optimizing Crop Production/6. Clustering Similar Crops.mp463.64MB
  40. ~Get Your Files Here !/3. Optimizing Crop Production/7. Visualizing the Hidden Patterns.mp427.81MB
  41. ~Get Your Files Here !/3. Optimizing Crop Production/8. Building a Machine Learning Classification Model.mp440.37MB
  42. ~Get Your Files Here !/3. Optimizing Crop Production/9. Real Time Predictions.mp427.66MB
  43. ~Get Your Files Here !/4. Customer Segmentation Engine/1. Understanding the Problem Statement.mp453.54MB
  44. ~Get Your Files Here !/4. Customer Segmentation Engine/2. Setting up the Environment.mp428.83MB
  45. ~Get Your Files Here !/4. Customer Segmentation Engine/3. Data Analysis and Visualization.mp477.72MB
  46. ~Get Your Files Here !/4. Customer Segmentation Engine/4. KMeans Clustering Analysis.mp461.8MB
  47. ~Get Your Files Here !/4. Customer Segmentation Engine/5. Applying Hierarchical Clustering.mp440.77MB
  48. ~Get Your Files Here !/4. Customer Segmentation Engine/6. Three Dimensional Clustering.mp436.74MB
  49. ~Get Your Files Here !/5. Outro Section/1. Conclusion.mp446.31MB
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