Description
Cluster Analysis and Unsupervised Machine Learning in Python is the name of the training on cluster analysis and unsupervised machine learning in Python, published by the Udemy website. Cluster analysis is one of the leading methods in unsupervised machine learning and data science. East. East. Which is very useful for data mining and big data because using a supervised machine automatically finds patterns in the data, without the need for threading. In the real world, imagine that a robot or AI doesn’t always arrive at the optimal answer, or maybe there is no good optimal answer. You like letting this robot explore the world on its own and learn things just by looking for patterns. do we get We always seem to have a nice CSV or table with the corresponding X and Y. This data must come from the field and, in many cases, is collected in traditional ways. Sometimes you don’t have access to this type of information, or it’s impossible or expensive to obtain. But you can still get an idea of the data structure. If you are doing data analysis, pattern recognition in your data will be invaluable. This is where an unattended machine comes into play.
What will you learn in this course ,
- Understanding the usual K-Means algorithm
- Understanding Soft or Fuzzy K-Means Clustering Algorithm
- Understanding Hierarchical Clustering
- Apply Scipy Hierarchical Clustering Library to Data
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Understand the different distance metrics used in clustering
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Understanding the Gaussian Mixture Model and how to use it for density estimation
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Explain when GMM is equivalent to K-Means clustering
Course details:
Editor: Udemy
Instructor: Lazy Programmer Team, Lazy Programmer Inc
French language
Level of training: introduction
Number of courses: 57
Duration of training: 7h 55m
Course content 2023/12
Requirements:
- Know how to code in Python and Numpy
- Install Numpy and Scipy
- Matrix arithmetic, probability
Photo of the course:
Simple video:
installation guide
After ripping, view with your favorite player.
Subtitle: English
Quality: 720p
Changes:
Version 2023/11 compared to 2020/11 increased by 1 lesson and the duration decreased by 5 minutes.
Download links
File password(s): www.downloadly.ir
File size:
1.67 GB