Cluster Analysis and Unsupervised Machine Learning in Python

Online Course

Udemy
Cluster Analysis and Unsupervised Machine Learning in Python

What is the course about?

Cluster Analysis and Unsupervised Machine Learning in Python
The course Cluster Analysis and Unsupervised Machine Learning in Python is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Data science techniques for pattern recognition, data mining, k-means clustering, and hierarchical clustering, and KDE.

Course description
  • Cluster Analysis and Unsupervised Machine Learning in Python
  • Understand the regular K-Means algorithm
  • Understand and enumerate the disadvantages of K-Means Clustering
  • Understand the soft or fuzzy K-Means Clustering algorithm
  • Implement Soft K-Means Clustering in Code
  • Understand Hierarchical Clustering
  • Know how to code in Python and Numpy
  • Install Numpy and Scipy
  • Matrix arithmetic, probability
  • 6.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Lazy Programmer Inc.

Prerequisites & Facts

Cluster Analysis and Unsupervised Machine Learning in Python

Course Topic

Personal Success, Teacher Training, Teaching & Academics

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Cluster Analysis and Unsupervised Machine Learning in Python

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Cluster Analysis and Unsupervised Machine Learning in Python
provided by Udemy

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School: Udemy
Topic: Data Science, Development, Python