Udemy - Master Clustering Analysis using Python 2022

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01 - Introduction to Clustering Analysis
  • 001 Introduction to Clustering.mp4 (57.8 MB)
  • 001 Introduction to Clustering_en.srt (3.1 KB)
  • 002 Types of Clustering.mp4 (65.2 MB)
  • 002 Types of Clustering_en.srt (3.8 KB)
  • 003 Applications of Clustering.mp4 (56.0 MB)
  • 003 Applications of Clustering_en.srt (3.3 KB)
  • 004 Using the Elbow Method for Choosing the Best Value for K.mp4 (67.1 MB)
  • 004 Using the Elbow Method for Choosing the Best Value for K_en.srt (3.7 KB)
  • 005 Introduction to K Means Clustering.mp4 (49.2 MB)
  • 005 Introduction to K Means Clustering_en.srt (3.8 KB)
  • 006 Solving a Real World Problem.mp4 (71.0 MB)
  • 006 Solving a Real World Problem_en.srt (5.0 KB)
  • 007 Implementing K Means on the Mall Dataset.mp4 (71.6 MB)
  • 007 Implementing K Means on the Mall Dataset_en.srt (6.3 KB)
  • 008 Using Silhouette Score to analyze the clusters.mp4 (96.3 MB)
  • 008 Using Silhouette Score to analyze the clusters_en.srt (7.0 KB)
  • 009 Clustering Multiple Dimensions.mp4 (50.0 MB)
  • 009 Clustering Multiple Dimensions_en.srt (4.1 KB)
  • 010 Introduction to Hierarchical Clustering.mp4 (88.3 MB)
  • 010 Introduction to Hierarchical Clustering_en.srt (4.8 KB)
  • 011 Introduction to Dendrograms.mp4 (41.9 MB)
  • 011 Introduction to Dendrograms_en.srt (3.9 KB)
  • 012 Implementing Hierarchical Clustering.mp4 (52.4 MB)
  • 012 Implementing Hierarchical Clustering_en.srt (3.6 KB)
  • 013 Introduction to DBSCAN Clustering.mp4 (75.6 MB)
  • 013 Introduction to DBSCAN Clustering_en.srt (4.6 KB)
  • 014 Implementing DBSCAN Clustering.mp4 (47.8 MB)
  • 014 Implementing DBSCAN Clustering_en.srt (3.6 KB)
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02 - Advanced Clustering Analysis
  • 001 Introduction to BIRCH Clustering.mp4 (75.0 MB)
  • 001 Introduction to BIRCH Clustering_en.srt (4.5 KB)
  • 002 Implementing BIRCH Clustering.mp4 (28.6 MB)
  • 002 Implementing BIRCH Clustering_en.srt (2.7 KB)
  • 003 Introduction to CURE Clustering.mp4 (74.1 MB)
  • 003 Introduction to CURE Clustering_en.srt (4.3 KB)
  • 004 Implementing CURE Clustering.mp4 (55.2 MB)
  • 004 Implementing CURE Clustering_en.srt (4.3 KB)
  • 005 Introduction to Mini-Batch K-Means Clustering.mp4 (68.4 MB)
  • 005 Introduction to Mini-Batch K-Means Clustering_en.srt (3.7 KB)
  • 006 Implementing Mini-Batch K-Means Clustering.mp4 (61.3 MB)
  • 006 Implementing Mini-Batch K-Means Clustering_en.srt (5.0 KB)
  • 007 Introduction to Mean Shift Clustering.mp4 (71.6 MB)
  • 007 Introduction to Mean Shift Clustering_en.srt (3.9 KB)
  • 008 Introduction to Mean Shift Clustering part 2.mp4 (72.0 MB)
  • 008 Introduction to Mean Shift Clustering part 2_en.srt (4.1 KB)
  • 009 Implementing Mean Shift Clustering.mp4 (35.0 MB)
  • 009 Implementing Mean Shift Clustering_en.srt (3.4 KB)
  • 010 Introduction to OPTICS Clustering.mp4 (73.6 MB)
  • 010 Introduction to OPTICS Clustering_en.srt (4.1 KB)
  • 011 OPTICS Clustering VS DBSCAN Clustering.mp4 (56.6 MB)
  • 011 OPTICS Clustering VS DBSCAN Clustering_en.srt (3.1 KB)
  • 012 Implementing OPTICS Clustering.mp4 (40.2 MB)
  • 012 Implementing OPTICS Clustering_en.srt (4.2 KB)
  • 013 Introduction to Spectral Clustering.mp4 (60.1 MB)
  • 013 Introduction to Spectral Clustering_en.srt (3.2 KB)
  • 014 Introduction to Spectral Clustering part 2.mp4 (110.8 MB)
  • 014 Introduction to Spectral Clustering part 2_en.srt (6.2 KB)
  • 015 Implementing Spectral Clustering.mp4 (31.4 MB)
  • 015 Implementing Spectral Clustering_en.srt (2.9 KB)
  • 016 Introduction to Gaussian Mixture Clustering.mp4 (61.9 MB)
  • 016 Introduction to Gaussian Mixture Clustering_en.srt (3.7 KB)
  • 017 Gaussian Mixture Clustering VS K-Means Clustering.mp4 (54.3 MB)
  • 017 Gaussian Mixture Clustering VS K-Means Clustering_en.srt (3.1 KB)
  • 018 Implementing Gaussian Mixture Clustering.mp4 (54.2 MB)
  • 018 Implementing Gaussian Mixture Clustering_en.srt (4.3 KB)
  • 019 Introduction to Kernel Density Estimation.mp4 (42.2 MB)
  • 019 Introduction to Kernel Density Estimation_en.srt (2.4 KB)
  • 020 Implementing Kernel Density Estimation.mp4 (57.3 MB)
  • 020 Implementing Kernel Density Estimation_en.srt (6.4 KB)
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03 - Optimizing Agricultural Production
  • 001 Setting up the Environment.mp4 (46.4 MB)
  • 001 Setting up the Environment_en.srt (3.3 KB)
  • 002 Understanding the Dataset.mp4 (55.1 MB)
  • 002 Understanding the Dataset_en.srt (3.2 KB)
  • 003 Understanding the Problem Statement.mp4 (35.4 MB)
  • 003 Understanding the Problem Statement_en.srt (1.9 KB)
  • 004 Performing Descriptive Statistics.mp4 (73.4 MB)
  • 004 Performing Descriptive Statistics_en.srt (6.3 KB)
  • 005 Analyzing Agricultural Conditions.mp4 (39.1 MB)
  • 005 Analyzing Agricultural Conditions_en.srt (2.9 KB)
  • 006 Clustering Similar Crops.mp4 (63.7 MB)
  • 006 Clustering Similar Crops_en.srt (4.3 KB)
  • 007 Visualizing the Hidden Patterns.mp4 (27.8 MB)
  • 007 Visualizing the Hidden Patterns_en.srt (2.5 KB)
  • 008 Predictive Modelling.mp4 (40.4 MB)
  • 008 Predictive Modelling_en.srt (3.3 KB)
  • 009 Real Time Predictions.mp4 (27.7 MB)
  • 009 Real Time Predictions_en.srt (2.2 KB)
  • 010 Summarizing the Key-Points.mp4 (40.5 MB)
  • 010 Summarizing the Key-Points_en.srt (2.3 KB)
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04 - Customer Segmentation Engine
  • 001 Understanding the Problem Statement.mp4 (53.5 MB)
  • 001 Understanding the Problem Statement_en.srt (3.0 KB)
  • 002 Setting up Environment.mp4 (28.8 MB)
  • 002 Setting up Environment_en.srt (2.3 KB)
  • 003 Data Analysis and Visualizat

Description

Master Clustering Analysis using Python 2022

Become an expert and solve Real World Problems using Clustering Analysis and Python.

Created by Data Is Good Academy
Last updated 12/2021
English
English [Auto]

For More Udemy Courses Visit: https://gigacourse.com
For More Courses Visit: https://Courseclub.me



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Udemy - Master Clustering Analysis using Python 2022

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2.8 GB
seeders:16
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Udemy - Master Clustering Analysis using Python 2022

Torrent hash: E3CE1D45ECCC9B0148C123A9D16644DA7F7E8F55