Cluster Analysis, Association Mining, and Model Evaluation
Welcome to Cluster Analysis, Association Mining, and Model Evaluation. In this course we will begin with an exploration of cluster analysis and segmentation, and discuss how techniques such as collaborative filtering and association rules mining can be applied. We will also explain how a model can be evaluated for performance, and review the differences in analysis types and when to apply them.
Monthly Subscription Starting at AED 99 + VAT
- Level Professional
- Duration 4 hours
- Course by University of California, Irvine
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Offered by
About
Welcome to Cluster Analysis, Association Mining, and Model Evaluation. In this course we will begin with an exploration of cluster analysis and segmentation, and discuss how techniques such as collaborative filtering and association rules mining can be applied. We will also explain how a model can be evaluated for performance, and review the differences in analysis types and when to apply them.Modules
Cluster Analysis and Segmentation
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2
Readings
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1
Discussion
1
Discussions
- Supervised vs. Unsupervised Learning
2
Readings
- Cluster Analysis and Segmentation
- Supplemental Resources
Collaborative Filtering, Association Rules Mining (Market Basked Analysis)
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1
Videos
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1
Readings
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1
Assignment
1
Assignment
- Modules 1 and 2
1
Videos
- Market Basket Analysis
1
Readings
- Collaborative Filtering, Association Rules Mining (Market Basket Analysis)
Classification-Type Prediction Models
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1
Videos
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2
Readings
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1
Discussion
1
Discussions
- Model Evaluation
1
Videos
- Evaluating Model Performance
2
Readings
- Classification-Type Prediction Models
- Supplemental Readings
Regression-Type Prediction Models
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1
Readings
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1
Discussion
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1
Assignment
1
Assignment
- Modules 3 and 4
1
Discussions
- OPTIONAL: Exploring Further – Multivariate Clustering Model Report
1
Readings
- Regression-Type Prediction Models
Auto Summary
Embark on a comprehensive journey into the world of data science with the "Cluster Analysis, Association Mining, and Model Evaluation" course offered by Coursera. This professional-level course delves into essential techniques and methodologies within the data science and AI domain. You will start by exploring cluster analysis and segmentation, understanding their applications, and learning about collaborative filtering and association rules mining. The course also covers the critical aspect of model evaluation, providing insights into performance metrics and the appropriate contexts for various analysis types. Designed for professionals seeking to deepen their expertise, the course spans 240 hours of in-depth content. Learners can choose between the Starter and Professional subscription options to best suit their learning needs and goals. This course is ideal for data science enthusiasts and professionals aiming to harness advanced analytical skills for practical and impactful applications. Join now to enhance your proficiency in data science techniques and elevate your analytical capabilities.
Julie Pai