Search result for Clustering techniques Online Courses & Certifications
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Foundations of Data Science: K-Means Clustering in Python
by Dr Matthew Yee-King , Dr Betty Fyn-Sydney , Dr Jamie A Ward , Dr Larisa Soldatova- 4.6
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Approx. 29 hours to complete
Week 1: Foundations of Data Science: K-Means Clustering in Python K-Means Clustering K-Means Clustering – Review Information 1 – Introduction to Mathematical Concepts of Data Clustering Week 5: A Data Clustering Project Define and explain the key concepts of data clustering Design and execute a whole data clustering workflow and interpret the outputs....
AI Workflow: Feature Engineering and Bias Detection
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 12 hours to complete
Employ dimension reduction techniques for both EDA and transformations stages Describe topic modeling techniques in natural language processing Employ unsupervised learning techniques using pipelines as part of the AI workflow Employ basic clustering algorithms Sampling Techniques Clustering Clustering Evaluation Getting Started with the Clustering Case Study (hands-on)...
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
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Approx. 34 hours to complete
This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled. Clustering...
Machine Learning using R and Python
by DATAhill Solutions Srinivas Reddy- 3.7
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69.5 hours on-demand video
This course has been prepared for professionals aspiring to learn the basics of R and Python and develop applications involving machine learning techniques such as recommendation, classification, regression and clustering....
$9.99
Machine Learning
by John W. Paisley- 0.0
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12 Weeks
Topics include: classification and regression, clustering methods, sequential models, matrix factorization, topic modeling and model selection. In the first half of the course we will cover supervised learning techniques for regression and classification. Supervised learning techniques for regression and classification Unsupervised learning techniques for data modeling and analysis...
$249
Machine Learning: Clustering & Retrieval
by Emily Fox , Carlos Guestrin- 4.6
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Approx. 17 hours to complete
-Examine probabilistic clustering approaches using mixtures models. -Compare and contrast initialization techniques for non-convex optimization objectives. -Implement these techniques in Python. Welcome and introduction to clustering and retrieval tasks Clustering text data with Gaussian mixtures Clustering text data with Gaussian mixtures An alternative document clustering model Hierarchical Clustering & Closing Remarks Divisive clustering Agglomerative clustering Agglomerative clustering details...
Foundations of strategic business analytics
by Nicolas Glady- 4.4
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Approx. 8 hours to complete
This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. Basic clustering using ad-hoc techniques: the example of product management Using classification and regression techniques to forecast...
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TensorFlow and the Google Cloud ML Engine for Deep Learning
by Loony Corn- 4.3
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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
Data Science: Machine Learning and Statistical Modeling in R
by Star Academy- 4.2
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10 hours on-demand video
Master machine learning techniques with R to solve Real-World problems and gain valuable insights from your data. In this course, we will teach you advanced techniques in machine learning with the latest code in R....
$11.99
Build Regression, Classification, and Clustering Models
by Anastas Stoyanovsky- 0.0
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Approx. 20 hours to complete
Build Regression, Classification, and Clustering Models Course Introduction Regularization Techniques Gradient Descent Techniques Build Clustering Models Build Clustering Models Module Introduction k-Means Clustering k-Means Clustering Shortcomings Hierarchical Clustering Guidelines for Building a k-Means Clustering Model Guidelines for Building a Hierarchical Clustering Model Building Clustering Models Train and evaluate clustering models to find useful patterns in unsupervised data....
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