Search result for Clustering techniques Online Courses & Certifications
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Cluster Analysis and Unsupervised Machine Learning in Python
by Lazy Programmer Team- 4.6
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8 hours on-demand video
Data science techniques for pattern recognition, data mining, k-means clustering, and hierarchical clustering, and KDE. There are 2 methods of clustering we’ll talk about: k-means clustering and hierarchical clustering. One interesting fact is that under certain conditions, Gaussian mixture models and k-means clustering are exactly the same! We’ll prove how this is the case....
$29.99
Data Mining - Clustering/Segmentation Using R, Tableau
by ExcelR Solutions- 3.9
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7 hours on-demand video
Learn Data Mining - Clustering Segmentation Using R,Tableau Learn Data Mining - Clustering Segmentation Using R,Tableau is designed to cover majority of the capabilities of R from Analytics & Data Science perspective, which includes the following: Course is structured to start with introduction to the tool & the principles behind Clustering Using R tool....
$9.99
Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
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Approx. 9 hours to complete
You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data. This course targets aspiring data scientists interested in acquiring hands-on experience with Unsupervised Machine Learning techniques in a business setting. Introduction to Clustering K Means Clustering...
Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 9 hours to complete
You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data. This course targets aspiring data scientists interested in acquiring hands-on experience with Unsupervised Machine Learning techniques in a business setting. Introduction to Clustering K Means Clustering...
Genomic Data Science and Clustering (Bioinformatics V)
by Pavel Pevzner , Phillip Compeau- 4.2
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Approx. 10 hours to complete
Week 1: Introduction to Clustering Algorithms Clustering as an Optimization Problem The Lloyd Algorithm for k-Means Clustering Week 2: Advanced Clustering Techniques From Hard to Soft Clustering From Coin Flipping to k-Means Clustering Soft k-Means Clustering Hierarchical Clustering...
Unsupervised Learning with Python: Step-by-Step Tutorial!
by Packt Publishing- 2.8
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7.5 hours on-demand video
Unsupervised learning is used for discovering the underlying structure of the data and encompasses a variety of techniques in machine learning, from clustering to dimension reduction to matrix factorization. By the end of the course, you’ll apply clustering and dimensionality reduction in Machine Learning using Python as well as Master Unsupervised Learning to solve real-world problems!...
$12.99
R: Data Analysis with R - Step-by-Step Tutorial!: 3-in-1
by Packt Publishing- 4.4
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5 hours on-demand video
An all inclusive guide to get well versed with classifying and clustering data with R! Are you looking forward to get well versed with classifying and clustering data with R? The second course, Classifying and Clustering Data with R, covers classifying and clustering Data with R. You’ll understand hierarchical clustering, non-hierarchical clustering, density-based clustering, and clustering of tweets....
$12.99
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Cluster Analysis- Theory & workout using SAS and R
by Gopal Prasad Malakar- 3.7
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5 hours on-demand video
Unsupervised Machine Learning : Hierarchical & non hierarchical clustering (k-means), theory & SAS / R program About the course - Cluster analysis is one of the most popular techniques used in data mining for marketing needs. Different type of cluster analysis Cluster Analysis – high level view Hierarchical clustering – Agglomerative or Divisive technique Dendogram – What it is?...
$12.99
End to End Data Science Practicum with Knime
by Prof. Dr. Şadi Evren Şeker- 0.0
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9 hours on-demand video
Applied Data Science Concepts and Techniques with Knime and hands on examples The first step is covering data science project management techniques and we follow CRISP-DM methodology with 6 steps below: We also cover unsupervised learning problems like clustering and association rule learning with k-means or hierarchical clustering, and a priori algorithms. Finally we cover ensemble techniques in Knime....
$14.99
Mastering Unsupervised Learning with Python
by Packt Publishing- 3.6
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4 hours on-demand video
In this video course you will understand the assumptions, advantages, and disadvantages of various popular clustering algorithms, and then learn how to apply them to different data sets for analysis. You will see hierarchical clustering through bottom-up and top-down strategies....
$12.99
