Search result for Clustering models Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 124 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Segmentation and Clustering
by Rod Light- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 3 weeks
The Segmentation & Clustering course provides students with the knowledge to build and apply clustering models to develop sophisticated segmentation in business contexts. lesson 2 Data Preparation for Clustering Models Learn how to select data for clustering models. lesson 4 Clustering models design Learn the difference between k-centroid and hierarchical clustering models....
Free
Build Regression, Classification, and Clustering Models
by Anastas Stoyanovsky- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 20 hours to complete
Models make decisions, predictions—anything that can help the business understand itself, its customers, and its environment better than a human could. Build Regression, Classification, and Clustering Models Course Introduction Build Clustering Models Build Clustering Models Module Introduction Building Clustering Models Train and evaluate clustering models to find useful patterns in unsupervised data....
Data Mining - Clustering/Segmentation Using R, Tableau
by ExcelR Solutions- 3.9
-
![]()
![]()
![]()
![]()
![]()
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 with Python: Step-by-Step Tutorial!
by Packt Publishing- 2.8
-
![]()
![]()
![]()
![]()
![]()
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! You will also be able to apply hard and soft clustering methods (k-Means and Gaussian Mixture Models) to assign segment labels to customers categorized in your sample data sets....
$12.99
Machine Learning
by John W. Paisley- 0.0
-
![]()
![]()
![]()
![]()
![]()
12 Weeks
Topics include: classification and regression, clustering methods, sequential models, matrix factorization, topic modeling and model selection. We will cover three fundamental problems of unsupervised learning: data clustering, matrix factorization, and sequential models for order-dependent data. Some applications of these models include object recommendation and topic modeling....
$249
TensorFlow and the Google Cloud ML Engine for Deep Learning
by Loony Corn- 4.3
-
![]()
![]()
![]()
![]()
![]()
17.5 hours on-demand video
CNNs, RNNs and other neural networks for unsupervised and supervised deep learning TensorFlow is quickly becoming the technology of choice for deep learning, because of how easy TF makes it to build powerful and sophisticated neural networks. The Google Cloud Platform is a great place to run TF models at scale, and perform distributed training and prediction....
$12.99
Unsupervised Learning
by Mark J Grover , Miguel Maldonado- 4.9
-
![]()
![]()
![]()
![]()
![]()
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. Try clustering points where appropriate, compare the performance of per-cluster models Introduction to Clustering K Means Clustering Selecting a clustering algorithm Hierarchical Agglomerative Clustering - Part 1...
Related searches
Unsupervised Machine Learning
by Mark J Grover , Miguel Maldonado- 4.8
-
![]()
![]()
![]()
![]()
![]()
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. Try clustering points where appropriate, compare the performance of per-cluster models Introduction to Clustering K Means Clustering Selecting a clustering algorithm Hierarchical Agglomerative Clustering - Part 1...
Machine Learning with Python: A Practical Introduction
by Saeed Aghabozorgi- 0.0
-
![]()
![]()
![]()
![]()
![]()
5 Weeks
We'll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such as Train/Test Split, Root Mean Squared Error (RMSE), and Random Forests. We'll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such asTrain/Test Split, Root Mean Squared Error and Random Forests. Unsupervised learning algorithms, including Clustering and Dimensionality Reduction...
$99
Machine Learning with Java and Weka
by SVBook Pte. Ltd.- 3.4
-
![]()
![]()
![]()
![]()
![]()
2.5 hours on-demand video
You will learn Java Programming for machine learning and you will be able to train your own prediction models with naive bayes, decision tree, knn, neural network, linear regression, and evaluate your models very soon after learning the course. KMeans Clustering KMeans Clustering in Weka and Java Agglomeration Clustering Agglomeration Clustering in Weka and Java...
$12.99
