Search result for Clustering techniques Online Courses & Certifications
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Applied Data Science
by Martyn Harris , Mark Levene , Stelios Sotiriadis , Felix Reidl- 0.0
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Develop your data science and analytics skills and improve your understanding of using data in the workplace. The terminology used in the data science sectorCurve fitting and plotting of statistical distributionsVisualisation techniquesMaking use of geolocation dataClassification and clusteringFeature extractionClustering textSupervised and unsupervised learningApplication of machine learning to text and images...
Free
From 0 to 1: Learn Python Programming - Easy as Pie
by Loony Corn- 3.8
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10.5 hours on-demand video
On-demand, generate a report with a time-series for a given stock tickerDrill #3: Scrape a news article URL and auto-summarize into 3 sentencesDrill #4: Scrape newspapers and a blog and apply several machine learning techniques - classification and clustering to these...
$12.99
Machine Learning, incl. Deep Learning, with R
by Bert Gollnick- 4
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15.5 hours on-demand video
Regularization Techniques Clustering techniques (e. Dimensionality Reduction techniques (e. Reinforcement Learning techniques (e. You will know how to evaluate your model, what underfitting and overfitting is, why resampling techniques are important, and how you can split your dataset into parts (train/validation/test)....
$11.99
From 0 to 1: Machine Learning, NLP & Python-Cut to the Chase
by Loony Corn- 4.5
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20 hours on-demand video
A down-to-earth, shy but confident take on machine learning techniques that you can put to work today This course is a down-to-earth, shy but confident take on machine learning techniques that you can put to work today The course is very visual : most of the techniques are explained with the help of animations to help you understand better....
$14.99
Text Mining and Analytics
by ChengXiang Zhai- 4.5
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Approx. 33 hours to complete
This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or minimum human effort....
Machine Learning for Data Analysis
by Jen Rose , Lisa Dierker- 4.2
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Approx. 10 hours to complete
Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts....
Exploratory Data Analysis
by Roger D. Peng, PhD , Jeff Leek, PhD , Brian Caffo, PhD- 4.7
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Approx. 55 hours to complete
This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data....
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Cluster Analysis
by Dragan Gašević , Vitomir Kovanović , Srećko Joksimović- 0.0
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3 Weeks
We will cover K-means and Hierarchical clustering techniques, which are two simple, yet widely used, cluster analysis methods. Understand clustering and its use in learning analytics How to use clustering in learning analytics to solve problems, such as improving student learning experiences and learning outcomes, increasing retention, or providing personalized feedback and support to students...
$99
Introduction to Formal Concept Analysis
by Sergei Obiedkov- 4.8
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Approx. 26 hours to complete
FCA can help in processing a wide class of data types providing a framework in which various data analysis and knowledge acquisition techniques can be formulated. Upon completion of the course, the students will be able to use the mathematical techniques and computational tools of formal concept analysis in their own research projects involving data processing. Conceptual clustering...
Machine Learning Foundations: A Case Study Approach
by Emily Fox , Carlos Guestrin- 4.6
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Approx. 18 hours to complete
-Implement these techniques in Python. Clustering and Similarity: Retrieving Documents Document retrieval: A case study in clustering and measuring similarity Clustering documents task overview Clustering documents: An unsupervised learning task k-means: A clustering algorithm Other examples of clustering Clustering and similarity ML block diagram Clustering and Similarity...
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