Udemy - Master Clustering Analysis using Python 2022

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Udemy - Master Clustering Analysis using Python 2022

Torrent Contents Size: 2.8 GB

Udemy - Master Clustering Analysis using Python 2022
▼ show more 108 files
001 Bonus.html
HTML
4.7 KB
001 Conclusion.mp4
MP4
46.3 MB
001 Conclusion_en.srt
SRT
2.9 KB
001 Introduction to BIRCH Clustering.mp4
MP4
75 MB
001 Introduction to BIRCH Clustering_en.srt
SRT
4.5 KB
001 Introduction to Clustering.mp4
MP4
57.8 MB
001 Introduction to Clustering_en.srt
SRT
3.1 KB
001 Setting up the Environment.mp4
MP4
46.4 MB
001 Setting up the Environment_en.srt
SRT
3.3 KB
001 Understanding the Problem Statement.mp4
MP4
53.5 MB
001 Understanding the Problem Statement_en.srt
SRT
3 KB
002 How to Get Your Certificate of Completion.html
HTML
512 B
002 Implementing BIRCH Clustering.mp4
MP4
28.6 MB
002 Implementing BIRCH Clustering_en.srt
SRT
2.7 KB
002 Setting up Environment.mp4
MP4
28.8 MB
002 Setting up Environment_en.srt
SRT
2.3 KB
002 Types of Clustering.mp4
MP4
65.2 MB
002 Types of Clustering_en.srt
SRT
3.8 KB
002 Understanding the Dataset.mp4
MP4
55.1 MB
002 Understanding the Dataset_en.srt
SRT
3.2 KB
003 Applications of Clustering.mp4
MP4
56 MB
003 Applications of Clustering_en.srt
SRT
3.3 KB
003 Data Analysis and Visualization.mp4
MP4
77.7 MB
003 Data Analysis and Visualization_en.srt
SRT
17.1 KB
003 Introduction to CURE Clustering.mp4
MP4
74.1 MB
003 Introduction to CURE Clustering_en.srt
SRT
4.3 KB
003 Understanding the Problem Statement.mp4
MP4
35.4 MB
003 Understanding the Problem Statement_en.srt
SRT
1.9 KB
004 Implementing CURE Clustering.mp4
MP4
55.2 MB
004 Implementing CURE Clustering_en.srt
SRT
4.3 KB
004 KMeans Clustering Analysis.mp4
MP4
61.8 MB
004 KMeans Clustering Analysis_en.srt
SRT
9.4 KB
004 Performing Descriptive Statistics.mp4
MP4
73.4 MB
004 Performing Descriptive Statistics_en.srt
SRT
6.3 KB
004 Using the Elbow Method for Choosing the Best Value for K.mp4
MP4
67.1 MB
004 Using the Elbow Method for Choosing the Best Value for K_en.srt
SRT
3.7 KB
005 Analyzing Agricultural Conditions.mp4
MP4
39.1 MB
005 Analyzing Agricultural Conditions_en.srt
SRT
2.9 KB
005 Applying Hierarchical Clustering.mp4
MP4
40.8 MB
005 Applying Hierarchical Clustering_en.srt
SRT
1.9 KB
005 Introduction to K Means Clustering.mp4
MP4
49.2 MB
005 Introduction to K Means Clustering_en.srt
SRT
3.8 KB
005 Introduction to Mini-Batch K-Means Clustering.mp4
MP4
68.4 MB
005 Introduction to Mini-Batch K-Means Clustering_en.srt
SRT
3.7 KB
006 Clustering Similar Crops.mp4
MP4
63.7 MB
006 Clustering Similar Crops_en.srt
SRT
4.3 KB
006 Implementing Mini-Batch K-Means Clustering.mp4
MP4
61.3 MB
006 Implementing Mini-Batch K-Means Clustering_en.srt
SRT
5 KB
006 Solving a Real World Problem.mp4
MP4
71 MB
006 Solving a Real World Problem_en.srt
SRT
5 KB
006 Using Silhouette Score as Evaluation Metric.mp4
MP4
36.7 MB
006 Using Silhouette Score as Evaluation Metric_en.srt
SRT
1.9 KB
007 Implementing K Means on the Mall Dataset.mp4
MP4
71.6 MB
007 Implementing K Means on the Mall Dataset_en.srt
SRT
6.3 KB
007 Introduction to Mean Shift Clustering.mp4
MP4
71.6 MB
007 Introduction to Mean Shift Clustering_en.srt
SRT
3.9 KB
007 Three Dimensional Clustering.html
HTML
2 KB
007 Visualizing the Hidden Patterns.mp4
MP4
27.8 MB
007 Visualizing the Hidden Patterns_en.srt
SRT
2.5 KB
008 Introduction to Mean Shift Clustering part 2.mp4
MP4
72 MB
008 Introduction to Mean Shift Clustering part 2_en.srt
SRT
4.1 KB
008 Major Learnings from the projects.mp4
MP4
40.8 MB
008 Major Learnings from the projects_en.srt
SRT
1.9 KB
008 Predictive Modelling.mp4
MP4
40.4 MB
008 Predictive Modelling_en.srt
SRT
3.3 KB
008 Using Silhouette Score to analyze the clusters.mp4
MP4
96.3 MB
008 Using Silhouette Score to analyze the clusters_en.srt
SRT
7 KB
009 Clustering Multiple Dimensions.mp4
MP4
50 MB
009 Clustering Multiple Dimensions_en.srt
SRT
4.1 KB
009 Implementing Mean Shift Clustering.mp4
MP4
35 MB
009 Implementing Mean Shift Clustering_en.srt
SRT
3.4 KB
009 Real Time Predictions.mp4
MP4
27.7 MB
009 Real Time Predictions_en.srt
SRT
2.2 KB
010 Introduction to Hierarchical Clustering.mp4
MP4
88.3 MB
010 Introduction to Hierarchical Clustering_en.srt
SRT
4.8 KB
010 Introduction to OPTICS Clustering.mp4
MP4
73.6 MB
010 Introduction to OPTICS Clustering_en.srt
SRT
4.1 KB
010 Summarizing the Key-Points.mp4
MP4
40.5 MB
010 Summarizing the Key-Points_en.srt
SRT
2.3 KB
011 Introduction to Dendrograms.mp4
MP4
41.9 MB
011 Introduction to Dendrograms_en.srt
SRT
3.9 KB
011 OPTICS Clustering VS DBSCAN Clustering.mp4
MP4
56.6 MB
011 OPTICS Clustering VS DBSCAN Clustering_en.srt
SRT
3.1 KB
012 Implementing Hierarchical Clustering.mp4
MP4
52.4 MB
012 Implementing Hierarchical Clustering_en.srt
SRT
3.6 KB
012 Implementing OPTICS Clustering.mp4
MP4
40.2 MB
012 Implementing OPTICS Clustering_en.srt
SRT
4.2 KB
013 Introduction to DBSCAN Clustering.mp4
MP4
75.6 MB
013 Introduction to DBSCAN Clustering_en.srt
SRT
4.6 KB
013 Introduction to Spectral Clustering.mp4
MP4
60.1 MB
013 Introduction to Spectral Clustering_en.srt
SRT
3.2 KB
014 Implementing DBSCAN Clustering.mp4
MP4
47.8 MB
014 Implementing DBSCAN Clustering_en.srt
SRT
3.6 KB
014 Introduction to Spectral Clustering part 2.mp4
MP4
110.8 MB
014 Introduction to Spectral Clustering part 2_en.srt
SRT
6.2 KB
015 Implementing Spectral Clustering.mp4
MP4
31.4 MB
015 Implementing Spectral Clustering_en.srt
SRT
2.9 KB
016 Introduction to Gaussian Mixture Clustering.mp4
MP4
61.9 MB
016 Introduction to Gaussian Mixture Clustering_en.srt
SRT
3.7 KB
017 Gaussian Mixture Clustering VS K-Means Clustering.mp4
MP4
54.3 MB
017 Gaussian Mixture Clustering VS K-Means Clustering_en.srt
SRT
3.1 KB
018 Implementing Gaussian Mixture Clustering.mp4
MP4
54.2 MB
018 Implementing Gaussian Mixture Clustering_en.srt
SRT
4.3 KB
019 Introduction to Kernel Density Estimation.mp4
MP4
42.2 MB
019 Introduction to Kernel Density Estimation_en.srt
SRT
2.4 KB
020 Implementing Kernel Density Estimation.mp4
MP4
57.3 MB
020 Implementing Kernel Density Estimation_en.srt
SRT
6.4 KB
[CourseClub.ME].url
URL
102.4 B
[CourseClub.Me].url
URL
102.4 B
[GigaCourse.Com].url
URL
0 B

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