Module Materials
Explore our modules designed to build specific data science skill sets.
| Title | Type of Material | Author | Institution |
|---|---|---|---|
| An Optimization Case Study With Extensions for Analysis | The problem in this case study falls into a class of optimization problems known as “set covering.” A small-scale problem is introduced with a basic formulation and… | ||
| Evaluating Machine Learning Models | This video, PowerPoint presentation, and PDF show how we can evaluate our supervised models by partitioning the data into training and test sets. We use the training set to… | ||
| Introduction to Data Visualization in R | The materials within in this module are designed for instructors to use when teaching data visualization in R. This module builds on the “Introduction to RStudio” module.… | ||
| Introduction to Google Colab | You can access this tutorial here | ||
| Introduction to RStudio | Learning RStudio - A Basic Introduction to Operations and Use. | ||
| KCMO Building Efficiency Tutorial 1: Dataset merging | This tutorial introduces a step-by-step workflow for exploring and preparing Kansas City building datasets from two different years for merging. It covers loading the data… | ||
| Python Programming Principles |
The basic benefits and concepts of object-oriented programming like classes, objects, and attributes, are discussed. Practical examples and exercises are provided, including… |
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