Udemy – Master Cluster Analysis and Unsupervised Learning [2024] 2024-9

Published on: 2024-11-20 18:51:59

Categories: 28

Description

Master’s course Cluster Analysis and Unsupervised Learning [2024]. Cluster analysis and unsupervised learning is one of the most important and decisive tasks in machine learning and data science. These methods are one of the main tools of data scientists, analysts, artificial intelligence and machine intelligence to generate new insights, information or knowledge from data. This course is an exciting hands-on class and video that will help you master cluster analysis and unsupervised learning. You will learn how to master some of the most useful and powerful cluster analysis and unsupervised learning techniques.

What you will learn in the course

Mastery of cluster analysis and unsupervised learning, both in theory and in practice
Mastery of simple and advanced models of cluster analysis
Using K-means cluster analysis, DBSCAN, hierarchical, principal component analysis and more…
Evaluation of cluster analysis models using different tools
Advanced unsupervised and supervised learning theory and introduction of automatic updated simulations
Understanding concepts such as truth, predicted truth, or model-based conditional truth
Using advanced and effective graphical tools to evaluate the performance of models
Using Scikit-learn libraries for cluster analysis and unsupervised learning, with support for Matplotlib, Seaborn, Pandas and Python
Cloud Computing: Using Anaconda Cloud Notebook (cloud-based Jupyter Notebook). Learning to use cloud computing resources

This course is suitable for people who

Anyone who wants to learn and master cluster analysis and unsupervised learning.

Characteristics of Master Cluster Analysis and Unsupervised Learning course [2024]

Publisher: Udemy
Lecturer: Henrik Johansson
Training level: beginner to advanced
Training duration: 5 hours and 27 minutes
Number of courses: 10

Course topics on 2024/10

Prerequisites of Master Cluster Analysis and Unsupervised Learning course [2024]

Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended
Access to a computer with an internet connection
Some Python skill is necessary and some experience with the Pandas library is recommended
The course only uses free software
Walk-you-through installation and setup videos for Cloud computing and Windows 10/11 are included