Search result for Clustering algorithms Online Courses & Certifications
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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. Describe and use common clustering and dimensionality-reduction algorithms Introduction to Clustering K Means Clustering Selecting a clustering algorithm Hierarchical Agglomerative Clustering - Part 1 Clustering Algorithms Comparing Clustering Algorithms...
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. Describe and use common clustering and dimensionality-reduction algorithms Introduction to Clustering K Means Clustering Selecting a clustering algorithm Hierarchical Agglomerative Clustering - Part 1 Clustering Algorithms Comparing Clustering Algorithms...
Cluster Analysis in Data Mining
by Jiawei Han- 4.5
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Approx. 17 hours to complete
Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications. Moreover, learn methods for clustering validation and evaluation of clustering quality. 2 Agglomerative Clustering Algorithms 3 Divisive Clustering Algorithms 2 Clustering Evaluation Measuring Clustering Quality 3 Constraint-Based Clustering 7 Internal Measures for Clustering Validation 10 Clustering Tendency...
Machine Learning: Unsupervised Learning
by Charles Isbell , Michael Littman , Pushkar Kolhe- 0.0
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Approx. 1 months
You will learn about and practice a variety of Unsupervised Learning approaches, including: randomized optimization, clustering, feature selection and transformation, and information theory. Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? The answer can be found in Unsupervised Learning!...
Free
Introduction to Machine Learning in R
by Holczer Balazs- 4
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8 hours on-demand video
This topic is getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. Learning algorithms can recognize patterns which can help detect cancer for example. clustering algorithms k means clustering and hierarchical clustering...
$12.99
Genomic Data Science and Clustering (Bioinformatics V)
by Pavel Pevzner , Phillip Compeau- 4.2
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Approx. 10 hours to complete
In the first half of the course, we will introduce algorithms for clustering a group of objects into a collection of clusters based on their similarity, a classic problem in data science, and see how these algorithms can be applied to gene expression data. Week 1: Introduction to Clustering Algorithms Clustering as an Optimization Problem...
Unsupervised Learning with Python: Step-by-Step Tutorial!
by Packt Publishing- 2.8
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7.5 hours on-demand video
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! This course explains the most important Unsupervised Learning algorithms using real-world examples of business applications in Python code. You will see hierarchical clustering through bottom-up and top-down strategies....
$12.99
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Data Mining Through Cluster Analysis Using Python
by Ermin Dedic- 4.2
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1 hour on-demand video
Discover two non-hierarchical clustering algorithms, k-means and DBSCAN. The course covers two of the most important and common non-hierarchical clustering algorithms, K-means and DBSCAN using Python....
$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
Machine Learning: we cover the classification algorithms such as Naive Bayes, Decision Trees, Logistic Regression or K-NN. We also cover prediction / regression algorithms like linear regression, polynomial regression or decision tree regression. We also cover unsupervised learning problems like clustering and association rule learning with k-means or hierarchical clustering, and a priori algorithms....
$14.99
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
by Tim Roughgarden- 4.8
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Approx. 15 hours to complete
The primary topics in this part of the specialization are: greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal search trees). Introduction to Greedy Algorithms Application to Clustering Correctness of Clustering Algorithm...
