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

Creation Time	July 5, 2024, 10:40 a.m.
Last Access Time	Jan. 16, 2026, 10:10 a.m.
File Size	2.7 GB
Keywords	Unsupervised with - Udemy Machine 2 FreeCourseWeb Learning Capstone ML com Projects
Total Requests	98
Total Files	101
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

~Get Your Files Here !/2. Introduction to Dimensionality Reduction/3. Solving a Real World Problem.mp4 98.8 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/8. Using Silhouette Score to analyze the clusters.mp4 96.3 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/10. Introduction to Hierarchical Clustering.mp4 88.4 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/14. Introduction to t-SNE.mp4 81.2 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/1. Why High Dimensional Datasets are a Problem.mp4 79.3 MB
~Get Your Files Here !/4. Customer Segmentation Engine/3. Data Analysis and Visualization.mp4 77.7 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/13. Introduction to DBSCAN Clustering.mp4 75.6 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/12. Introduction to Principal Component Analysis.mp4 73.7 MB
~Get Your Files Here !/3. Optimizing Crop Production/4. Performing Descriptive Statistics.mp4 73.4 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/7. Implementing K Means on the Mall Dataset.mp4 71.6 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/4. Introduction to Correlation using Heatmap.mp4 71.4 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/6. Solving a Real World Problem.mp4 71.1 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/4. Using the Elbow Method for Choosing the Best Value for K.mp4 67.0 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/2. Types of Clustering.mp4 65.3 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/18. Difference between PCA, t-SNE, and LDA.mp4 64.8 MB
~Get Your Files Here !/3. Optimizing Crop Production/6. Clustering Similar Crops.mp4 63.6 MB
~Get Your Files Here !/4. Customer Segmentation Engine/4. KMeans Clustering Analysis.mp4 61.8 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/1. Introduction to Clustering.mp4 57.8 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/2. Methods to solve the problem of High Dimensionality.mp4 57.1 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/8. Introduction to Recursive Feature Selection.mp4 56.7 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/3. Applications of Clustering.mp4 56.0 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/13. Implementing PCA.mp4 55.5 MB
~Get Your Files Here !/3. Optimizing Crop Production/2. Understanding the Dataset.mp4 55.1 MB
~Get Your Files Here !/4. Customer Segmentation Engine/1. Understanding the Problem Statement.mp4 53.5 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/10. Introduction the Boruta Algorithm.mp4 52.5 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/12. Implementing Hierarchical Clustering.mp4 52.4 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/9. Implementing Recursive Feature Selection.mp4 50.9 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/9. Clustering Multiple Dimensions.mp4 50.0 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/5. Introduction to K Means Clustering.mp4 49.3 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/5. Removing Highly Correlated Columns using Correlation.mp4 48.9 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/16. Introduction to Linear Discriminant Analysis.mp4 48.8 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/6. Introduction to Variance Inflation Filtering.mp4 48.7 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/7. Implementing VIF using statsmodel.mp4 47.9 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/14. Implementing DBSCAN Clustering.mp4 47.8 MB
~Get Your Files Here !/3. Optimizing Crop Production/1. Setting up the Environment.mp4 46.4 MB
~Get Your Files Here !/5. Outro Section/1. Conclusion.mp4 46.3 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/11. Implementing the Boruta Algorithm.mp4 43.2 MB
~Get Your Files Here !/1. Introduction to Clustering Analysis/11. Introduction to Dendrograms.mp4 41.8 MB
~Get Your Files Here !/4. Customer Segmentation Engine/5. Applying Hierarchical Clustering.mp4 40.8 MB
~Get Your Files Here !/3. Optimizing Crop Production/10. Summarizing the Key-Points.mp4 40.5 MB
~Get Your Files Here !/3. Optimizing Crop Production/8. Building a Machine Learning Classification Model.mp4 40.4 MB
~Get Your Files Here !/3. Optimizing Crop Production/5. Analyzing Agricultural Conditions.mp4 39.1 MB
~Get Your Files Here !/4. Customer Segmentation Engine/6. Three Dimensional Clustering.mp4 36.7 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/17. Implementing LDA.mp4 36.7 MB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/15. Implementing t-SNE.mp4 36.1 MB
~Get Your Files Here !/3. Optimizing Crop Production/3. Understanding the Problem Statement.mp4 35.4 MB
~Get Your Files Here !/4. Customer Segmentation Engine/2. Setting up the Environment.mp4 28.8 MB
~Get Your Files Here !/3. Optimizing Crop Production/7. Visualizing the Hidden Patterns.mp4 27.8 MB
~Get Your Files Here !/3. Optimizing Crop Production/9. Real Time Predictions.mp4 27.7 MB
~Get Your Files Here !/3. Solving a Real World Problem.jpeg 192.5 KB
~Get Your Files Here !/4. Customer Segmentation Engine/3. Data Analysis and Visualization.srt 17.3 KB
~Get Your Files Here !/4. Customer Segmentation Engine/4. KMeans Clustering Analysis.srt 9.1 KB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/3. Solving a Real World Problem.srt 8.4 KB
~Get Your Files Here !/1. Introduction to Clustering Analysis/8. Using Silhouette Score to analyze the clusters.srt 6.9 KB
~Get Your Files Here !/3. Optimizing Crop Production/4. Performing Descriptive Statistics.srt 6.3 KB
~Get Your Files Here !/1. Introduction to Clustering Analysis/7. Implementing K Means on the Mall Dataset.srt 6.2 KB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/4. Introduction to Correlation using Heatmap.srt 5.4 KB
~Get Your Files Here !/1. Introduction to Clustering Analysis/6. Solving a Real World Problem.srt 4.9 KB
~Get Your Files Here !/1. Introduction to Clustering Analysis/10. Introduction to Hierarchical Clustering.srt 4.8 KB
~Get Your Files Here !/1. Introduction to Clustering Analysis/13. Introduction to DBSCAN Clustering.srt 4.5 KB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/11. Implementing the Boruta Algorithm.srt 4.5 KB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/14. Introduction to t-SNE.srt 4.5 KB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/1. Why High Dimensional Datasets are a Problem.srt 4.3 KB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/13. Implementing PCA.srt 4.3 KB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/9. Implementing Recursive Feature Selection.srt 4.2 KB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/12. Introduction to Principal Component Analysis.srt 4.1 KB
~Get Your Files Here !/3. Optimizing Crop Production/6. Clustering Similar Crops.srt 4.1 KB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/5. Removing Highly Correlated Columns using Correlation.srt 4.0 KB
~Get Your Files Here !/1. Introduction to Clustering Analysis/11. Introduction to Dendrograms.srt 3.9 KB
~Get Your Files Here !/1. Introduction to Clustering Analysis/2. Types of Clustering.srt 3.9 KB
~Get Your Files Here !/1. Introduction to Clustering Analysis/5. Introduction to K Means Clustering.srt 3.8 KB
~Get Your Files Here !/1. Introduction to Clustering Analysis/4. Using the Elbow Method for Choosing the Best Value for K.srt 3.6 KB
~Get Your Files Here !/1. Introduction to Clustering Analysis/12. Implementing Hierarchical Clustering.srt 3.6 KB
~Get Your Files Here !/1. Introduction to Clustering Analysis/14. Implementing DBSCAN Clustering.srt 3.6 KB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/7. Implementing VIF using statsmodel.srt 3.6 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 3.3 KB
~Get Your Files Here !/1. Introduction to Clustering Analysis/3. Applications of Clustering.srt 3.3 KB
~Get Your Files Here !/3. Optimizing Crop Production/8. Building a Machine Learning Classification Model.srt 3.2 KB
~Get Your Files Here !/3. Optimizing Crop Production/2. Understanding the Dataset.srt 3.2 KB
~Get Your Files Here !/3. Optimizing Crop Production/1. Setting up the Environment.srt 3.1 KB
~Get Your Files Here !/1. Introduction to Clustering Analysis/1. Introduction to Clustering.srt 3.1 KB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/8. Introduction to Recursive Feature Selection.srt 3.1 KB
~Get Your Files Here !/4. Customer Segmentation Engine/1. Understanding the Problem Statement.srt 3.0 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 2.9 KB
~Get Your Files Here !/3. Optimizing Crop Production/5. Analyzing Agricultural Conditions.srt 2.9 KB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/17. Implementing LDA.srt 2.7 KB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/16. Introduction to Linear Discriminant Analysis.srt 2.7 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 2.3 KB
~Get Your Files Here !/2. Introduction to Dimensionality Reduction/6. Introduction to Variance Inflation Filtering.srt 2.3 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 2.1 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 1.8 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

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

File List

Download Torrent

Related Resources

Copyright Infringement