Publications by [Austin Hannold]
Lab 4 Case Study
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 learning experience. Your task is to develop a supervised learning model to predict stud...
931 sym Python (6481 sym/22 pcs)
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...
5610 sym R (17066 sym/65 pcs) 13 img
Lab 2
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...
5496 sym R (8726 sym/34 pcs) 2 img
Lab 2 Case Study
1. PREPARE When we left off the first case study, we saw that our model was pretty accurate. We can and will do better in terms of accuracy. But, the accuracy value we found also raises a broader question: How good was our model in terms of making predictions? While accuracy is an easy to understand and interpret value, it provides a limited an...
43250 sym R (18966 sym/54 pcs) 3 tbl
Lab 1
The lab provides space to work with data and to reflect on how the concepts and techniques introduced in each lab might apply to your own research. To earn a badge for each lab, you are required to respond to a set of prompts for two parts: In Part I, you will extend our model by adding another variable. In Part II, you will reflect on your un...
6405 sym R (8975 sym/2 pcs) 2 img
Lab 1 Case Study
1. PREPARE Each machine learning “case study” is designed to illustrate how machine learning methods and techniques can be applied to address a research question of interest, create useful data products, and conduct reproducible research. Each case study is structured around a basic analytics workflow modeled after the Data-Intensive Resear...
76608 sym R (14803 sym/55 pcs) 4 img