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Utilizing Supervised Learning in Learning Analytics Case Study 4 Author Banoth Maheshwari Business Scenario: Predicting Student Performance In this case study, you are an analyst at an online education platform. The management is interested in predicting student performance based on various factors to provide personalized support and improve th...
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Lab4 Case study
R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com. When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within...
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case study 4
Utilizing Supervised Learning in Learning Analytics Case Study 4 Author Vishal Singh Business Scenario: Predicting Student Performance In this case study, you are an analyst at an online education platform. The management is interested in predicting student performance based on various factors to provide personalized support and improve the lea...
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Lab 3 Case Study: Unsupervised Learning in Learning Analytics
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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R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com. When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within...
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lab3
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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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 cour...
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Simulate student features simulate_student_features <- function(n = 100) { set.seed(260923) student_ids <- seq(1, n) student_engagement <- rnorm(n, mean = 50, sd = 10) student_performance <- rnorm(n, mean = 60, sd = 15) student_features <- data.frame( student_id = student_ids, student_engagement = student_engagement, student...
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Lab-3 Case Study
Load necessary libraries library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(ggplot2) library(factoextra) ## Welcome! Want to learn more? See two factoext...
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Lab3 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 cour...
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