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week 6
Introduction Learning analytics is the use of data to understand and improve learning. Unsupervised learning is a type of machine learning that can be used to identify patterns and relationships in data without the need for labeled data. In this case study, you will use unsupervised learning to analyze learning data from a Simulated School cour...
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UNSUPERVISED LEARNING WEEK 6
Introduction Learning analytics is the use of data to understand and improve learning. Unsupervised learning is a type of machine learning that can be used to identify patterns and relationships in data without the need for labeled data. In this case study, you will use unsupervised learning to analyze learning data from a Simulated School cour...
3328 sym R (17250 sym/39 pcs) 4 img
UNSUPERVISED LEARNING WEEK 6
Introduction Learning analytics is the use of data to understand and improve learning. Unsupervised learning is a type of machine learning that can be used to identify patterns and relationships in data without the need for labeled data. In this case study, you will use unsupervised learning to analyze learning data from a Simulated School cour...
3326 sym R (7726 sym/37 pcs) 4 img
Lab 3 Case Study
Introduction Learning analytics is the use of data to understand and improve learning. Unsupervised learning is a type of machine learning that can be used to identify patterns and relationships in data without the need for labeled data. In this case study, you will use unsupervised learning to analyze learning data from a Simulated School course. ...
1960 sym R (2275 sym/18 pcs) 1 img
Document
Introduction Learning analytics is the use of data to understand and improve learning. Unsupervised learning is a type of machine learning that can be used to identify patterns and relationships in data without the need for labeled data. In this case study, you will use unsupervised learning to analyze learning data from a Simulated School course. ...
8983 sym R (28286 sym/55 pcs) 5 img
Document
Introduction Learning analytics is the use of data to understand and improve learning. Unsupervised learning is a type of machine learning that can be used to identify patterns and relationships in data without the need for labeled data. In this case study, you will use unsupervised learning to analyze learning data from a Simulated School course. ...
7431 sym R (2275 sym/18 pcs) 1 img
Lab 2 Badge
In this lab you will respond to a set of prompts for two parts. Part I: Data Product For the data product, you will interpret a different type of model – a model in a regression mode. So far, we have specified and interpreted a classification model: one predicting a dichotomous outcome (i.e., whether students pass a course). In many cases, ho...
5158 sym R (31653 sym/74 pcs) 2 img
Publish Document
In this lab you will respond to a set of prompts for two parts. Part I: Data Product For the data product, you will interpret a different type of model – a model in a regression mode. So far, we have specified and interpreted a classification model: one predicting a dichotomous outcome (i.e., whether students pass a course). In many cases, howev...
5199 sym R (31713 sym/55 pcs) 2 img
Lab 2 Activity
In this lab you will respond to a set of prompts for two parts. Part I: Data Product For the data product, you will interpret a different type of model – a model in a regression mode. So far, we have specified and interpreted a classification model: one predicting a dichotomous outcome (i.e., whether students pass a course). In many cases, ho...
5226 sym R (31673 sym/74 pcs) 2 img
Lab-2 Badge
In this lab you will respond to a set of prompts for two parts. Part I: Data Product For the data product, you will interpret a different type of model – a model in a regression mode. So far, we have specified and interpreted a classification model: one predicting a dichotomous outcome (i.e., whether students pass a course). In many cases, ho...
5213 sym R (31571 sym/74 pcs) 2 img